Overview

Dataset statistics

Number of variables173
Number of observations20336
Missing cells889764
Missing cells (%)25.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.8 MiB
Average record size in memory1.4 KiB

Variable types

Numeric150
Unsupported4
Categorical19

Alerts

HR-min is highly correlated with HR-max and 2 other fieldsHigh correlation
HR-max is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-mean is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-median is highly correlated with HR-min and 2 other fieldsHigh correlation
O2Sat-min is highly correlated with O2Sat-mean and 1 other fieldsHigh correlation
O2Sat-max is highly correlated with O2Sat-mean and 1 other fieldsHigh correlation
O2Sat-mean is highly correlated with O2Sat-min and 2 other fieldsHigh correlation
O2Sat-median is highly correlated with O2Sat-min and 2 other fieldsHigh correlation
Temp-min is highly correlated with Temp-meanHigh correlation
Temp-max is highly correlated with Temp-mean and 1 other fieldsHigh correlation
Temp-mean is highly correlated with Temp-min and 2 other fieldsHigh correlation
Temp-median is highly correlated with Temp-max and 1 other fieldsHigh correlation
SBP-min is highly correlated with SBP-mean and 4 other fieldsHigh correlation
SBP-max is highly correlated with SBP-mean and 4 other fieldsHigh correlation
SBP-mean is highly correlated with SBP-min and 6 other fieldsHigh correlation
SBP-median is highly correlated with SBP-min and 6 other fieldsHigh correlation
MAP-min is highly correlated with SBP-min and 7 other fieldsHigh correlation
MAP-max is highly correlated with SBP-max and 7 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-min and 10 other fieldsHigh correlation
MAP-median is highly correlated with SBP-min and 10 other fieldsHigh correlation
DBP-min is highly correlated with MAP-min and 4 other fieldsHigh correlation
DBP-max is highly correlated with MAP-max and 4 other fieldsHigh correlation
DBP-mean is highly correlated with MAP-min and 6 other fieldsHigh correlation
DBP-median is highly correlated with MAP-min and 6 other fieldsHigh correlation
Resp-min is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-max is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-min and 2 other fieldsHigh correlation
Resp-median is highly correlated with Resp-min and 2 other fieldsHigh correlation
BaseExcess-min is highly correlated with BaseExcess-max and 9 other fieldsHigh correlation
BaseExcess-max is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
HCO3-min is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
HCO3-max is highly correlated with BaseExcess-min and 8 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
FiO2-min is highly correlated with FiO2-mean and 1 other fieldsHigh correlation
FiO2-max is highly correlated with FiO2-mean and 1 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-min and 2 other fieldsHigh correlation
FiO2-median is highly correlated with FiO2-min and 2 other fieldsHigh correlation
pH-min is highly correlated with BaseExcess-min and 5 other fieldsHigh correlation
pH-max is highly correlated with BaseExcess-max and 2 other fieldsHigh correlation
pH-mean is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
pH-median is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
PaCO2-min is highly correlated with HCO3-min and 4 other fieldsHigh correlation
PaCO2-max is highly correlated with pH-min and 2 other fieldsHigh correlation
PaCO2-mean is highly correlated with HCO3-min and 6 other fieldsHigh correlation
PaCO2-median is highly correlated with HCO3-min and 6 other fieldsHigh correlation
SaO2-min is highly correlated with SaO2-mean and 1 other fieldsHigh correlation
SaO2-max is highly correlated with SaO2-medianHigh correlation
SaO2-mean is highly correlated with SaO2-min and 1 other fieldsHigh correlation
SaO2-median is highly correlated with SaO2-min and 2 other fieldsHigh correlation
AST-min is highly correlated with AST-max and 2 other fieldsHigh correlation
AST-max is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-mean is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-median is highly correlated with AST-min and 2 other fieldsHigh correlation
BUN-min is highly correlated with BUN-max and 6 other fieldsHigh correlation
BUN-max is highly correlated with BUN-min and 6 other fieldsHigh correlation
BUN-mean is highly correlated with BUN-min and 6 other fieldsHigh correlation
BUN-median is highly correlated with BUN-min and 6 other fieldsHigh correlation
Alkalinephos-min is highly correlated with Alkalinephos-max and 2 other fieldsHigh correlation
Alkalinephos-max is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Calcium-min is highly correlated with Calcium-max and 2 other fieldsHigh correlation
Calcium-max is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-mean is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-median is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Chloride-min is highly correlated with Chloride-max and 2 other fieldsHigh correlation
Chloride-max is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-mean is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-median is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Creatinine-min is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-max is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-mean is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-min and 6 other fieldsHigh correlation
Bilirubin_direct-min is highly correlated with Bilirubin_direct-max and 6 other fieldsHigh correlation
Bilirubin_direct-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Glucose-min is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-max is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-min and 2 other fieldsHigh correlation
Glucose-median is highly correlated with Glucose-min and 2 other fieldsHigh correlation
Lactate-min is highly correlated with Lactate-max and 2 other fieldsHigh correlation
Lactate-max is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-mean is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-median is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Magnesium-min is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-max is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-mean is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Magnesium-median is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Phosphate-min is highly correlated with Phosphate-max and 2 other fieldsHigh correlation
Phosphate-max is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Phosphate-mean is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Phosphate-median is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Potassium-min is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-max is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-mean is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Potassium-median is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Bilirubin_total-min is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
TroponinI-min is highly correlated with TroponinI-max and 2 other fieldsHigh correlation
TroponinI-max is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-median is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
Hct-min is highly correlated with Hct-max and 6 other fieldsHigh correlation
Hct-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-min is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
PTT-min is highly correlated with PTT-max and 2 other fieldsHigh correlation
PTT-max is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-median is highly correlated with PTT-min and 2 other fieldsHigh correlation
WBC-min is highly correlated with WBC-max and 2 other fieldsHigh correlation
WBC-max is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-mean is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-median is highly correlated with WBC-min and 2 other fieldsHigh correlation
Fibrinogen-min is highly correlated with Fibrinogen-max and 2 other fieldsHigh correlation
Fibrinogen-max is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Platelets-min is highly correlated with Platelets-max and 2 other fieldsHigh correlation
Platelets-max is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-mean is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-median is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Age-min is highly correlated with Age-max and 2 other fieldsHigh correlation
Age-max is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-mean is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-median is highly correlated with Age-min and 2 other fieldsHigh correlation
Gender-min is highly correlated with Gender-max and 2 other fieldsHigh correlation
Gender-max is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-median is highly correlated with Gender-min and 2 other fieldsHigh correlation
Unit1-min is highly correlated with Unit1-max and 6 other fieldsHigh correlation
Unit1-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-min is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
HospAdmTime-min is highly correlated with HospAdmTime-max and 2 other fieldsHigh correlation
HospAdmTime-max is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
ICULOS-max is highly correlated with ICULOS-mean and 5 other fieldsHigh correlation
ICULOS-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
SepsisLabel-min is highly correlated with SepsisLabel-medianHigh correlation
SepsisLabel-max is highly correlated with SepsisLabel-mean and 5 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-min and 6 other fieldsHigh correlation
Sepsis-min is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-max is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Hours-min is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-max is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
HR-min is highly correlated with HR-max and 2 other fieldsHigh correlation
HR-max is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-mean is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-median is highly correlated with HR-min and 2 other fieldsHigh correlation
O2Sat-min is highly correlated with O2Sat-meanHigh correlation
O2Sat-max is highly correlated with O2Sat-mean and 1 other fieldsHigh correlation
O2Sat-mean is highly correlated with O2Sat-min and 2 other fieldsHigh correlation
O2Sat-median is highly correlated with O2Sat-max and 1 other fieldsHigh correlation
Temp-min is highly correlated with Temp-meanHigh correlation
Temp-max is highly correlated with Temp-mean and 1 other fieldsHigh correlation
Temp-mean is highly correlated with Temp-min and 2 other fieldsHigh correlation
Temp-median is highly correlated with Temp-max and 1 other fieldsHigh correlation
SBP-min is highly correlated with SBP-mean and 4 other fieldsHigh correlation
SBP-max is highly correlated with SBP-mean and 4 other fieldsHigh correlation
SBP-mean is highly correlated with SBP-min and 5 other fieldsHigh correlation
SBP-median is highly correlated with SBP-min and 5 other fieldsHigh correlation
MAP-min is highly correlated with SBP-min and 7 other fieldsHigh correlation
MAP-max is highly correlated with SBP-max and 2 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-min and 10 other fieldsHigh correlation
MAP-median is highly correlated with SBP-min and 10 other fieldsHigh correlation
DBP-min is highly correlated with MAP-min and 4 other fieldsHigh correlation
DBP-max is highly correlated with MAP-mean and 3 other fieldsHigh correlation
DBP-mean is highly correlated with MAP-min and 5 other fieldsHigh correlation
DBP-median is highly correlated with MAP-min and 5 other fieldsHigh correlation
Resp-min is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-max is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-min and 2 other fieldsHigh correlation
Resp-median is highly correlated with Resp-min and 2 other fieldsHigh correlation
BaseExcess-min is highly correlated with BaseExcess-max and 11 other fieldsHigh correlation
BaseExcess-max is highly correlated with BaseExcess-min and 7 other fieldsHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
HCO3-min is highly correlated with BaseExcess-min and 9 other fieldsHigh correlation
HCO3-max is highly correlated with BaseExcess-min and 10 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-min and 10 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-min and 10 other fieldsHigh correlation
FiO2-min is highly correlated with FiO2-mean and 1 other fieldsHigh correlation
FiO2-max is highly correlated with FiO2-mean and 1 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-min and 2 other fieldsHigh correlation
FiO2-median is highly correlated with FiO2-min and 2 other fieldsHigh correlation
pH-min is highly correlated with BaseExcess-min and 4 other fieldsHigh correlation
pH-max is highly correlated with BaseExcess-max and 2 other fieldsHigh correlation
pH-mean is highly correlated with BaseExcess-min and 5 other fieldsHigh correlation
pH-median is highly correlated with BaseExcess-min and 5 other fieldsHigh correlation
PaCO2-min is highly correlated with BaseExcess-min and 7 other fieldsHigh correlation
PaCO2-max is highly correlated with HCO3-max and 5 other fieldsHigh correlation
PaCO2-mean is highly correlated with HCO3-min and 6 other fieldsHigh correlation
PaCO2-median is highly correlated with HCO3-min and 6 other fieldsHigh correlation
SaO2-min is highly correlated with SaO2-mean and 1 other fieldsHigh correlation
SaO2-max is highly correlated with SaO2-mean and 1 other fieldsHigh correlation
SaO2-mean is highly correlated with SaO2-min and 2 other fieldsHigh correlation
SaO2-median is highly correlated with SaO2-min and 2 other fieldsHigh correlation
AST-min is highly correlated with AST-max and 2 other fieldsHigh correlation
AST-max is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-mean is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-median is highly correlated with AST-min and 2 other fieldsHigh correlation
BUN-min is highly correlated with BUN-max and 9 other fieldsHigh correlation
BUN-max is highly correlated with BUN-min and 9 other fieldsHigh correlation
BUN-mean is highly correlated with BUN-min and 9 other fieldsHigh correlation
BUN-median is highly correlated with BUN-min and 9 other fieldsHigh correlation
Alkalinephos-min is highly correlated with Alkalinephos-max and 2 other fieldsHigh correlation
Alkalinephos-max is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Calcium-min is highly correlated with Calcium-max and 2 other fieldsHigh correlation
Calcium-max is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-mean is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-median is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Chloride-min is highly correlated with Chloride-max and 2 other fieldsHigh correlation
Chloride-max is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-mean is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-median is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Creatinine-min is highly correlated with BUN-min and 10 other fieldsHigh correlation
Creatinine-max is highly correlated with BUN-min and 9 other fieldsHigh correlation
Creatinine-mean is highly correlated with BUN-min and 10 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-min and 10 other fieldsHigh correlation
Bilirubin_direct-min is highly correlated with Bilirubin_direct-max and 6 other fieldsHigh correlation
Bilirubin_direct-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Glucose-min is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-max is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-min and 2 other fieldsHigh correlation
Glucose-median is highly correlated with Glucose-min and 2 other fieldsHigh correlation
Lactate-min is highly correlated with Lactate-max and 2 other fieldsHigh correlation
Lactate-max is highly correlated with BaseExcess-min and 3 other fieldsHigh correlation
Lactate-mean is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-median is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Magnesium-min is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-max is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-mean is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Magnesium-median is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Phosphate-min is highly correlated with BUN-min and 6 other fieldsHigh correlation
Phosphate-max is highly correlated with BUN-max and 9 other fieldsHigh correlation
Phosphate-mean is highly correlated with BUN-min and 10 other fieldsHigh correlation
Phosphate-median is highly correlated with BUN-min and 10 other fieldsHigh correlation
Potassium-min is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-max is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-mean is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Potassium-median is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Bilirubin_total-min is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
TroponinI-min is highly correlated with TroponinI-max and 2 other fieldsHigh correlation
TroponinI-max is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-median is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
Hct-min is highly correlated with Hct-max and 6 other fieldsHigh correlation
Hct-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-min is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
PTT-min is highly correlated with PTT-max and 2 other fieldsHigh correlation
PTT-max is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-median is highly correlated with PTT-min and 2 other fieldsHigh correlation
WBC-min is highly correlated with WBC-max and 2 other fieldsHigh correlation
WBC-max is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-mean is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-median is highly correlated with WBC-min and 2 other fieldsHigh correlation
Fibrinogen-min is highly correlated with Fibrinogen-max and 2 other fieldsHigh correlation
Fibrinogen-max is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Platelets-min is highly correlated with Platelets-max and 2 other fieldsHigh correlation
Platelets-max is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-mean is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-median is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Age-min is highly correlated with Age-max and 2 other fieldsHigh correlation
Age-max is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-mean is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-median is highly correlated with Age-min and 2 other fieldsHigh correlation
Gender-min is highly correlated with Gender-max and 2 other fieldsHigh correlation
Gender-max is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-median is highly correlated with Gender-min and 2 other fieldsHigh correlation
Unit1-min is highly correlated with Unit1-max and 6 other fieldsHigh correlation
Unit1-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-min is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
HospAdmTime-min is highly correlated with HospAdmTime-max and 2 other fieldsHigh correlation
HospAdmTime-max is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
ICULOS-max is highly correlated with ICULOS-mean and 5 other fieldsHigh correlation
ICULOS-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
SepsisLabel-min is highly correlated with SepsisLabel-mean and 1 other fieldsHigh correlation
SepsisLabel-max is highly correlated with SepsisLabel-mean and 5 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-min and 6 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-min and 6 other fieldsHigh correlation
Sepsis-min is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-max is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Hours-min is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-max is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
HR-min is highly correlated with HR-mean and 1 other fieldsHigh correlation
HR-max is highly correlated with HR-mean and 1 other fieldsHigh correlation
HR-mean is highly correlated with HR-min and 2 other fieldsHigh correlation
HR-median is highly correlated with HR-min and 2 other fieldsHigh correlation
O2Sat-min is highly correlated with O2Sat-meanHigh correlation
O2Sat-mean is highly correlated with O2Sat-min and 1 other fieldsHigh correlation
O2Sat-median is highly correlated with O2Sat-meanHigh correlation
Temp-max is highly correlated with Temp-mean and 1 other fieldsHigh correlation
Temp-mean is highly correlated with Temp-max and 1 other fieldsHigh correlation
Temp-median is highly correlated with Temp-max and 1 other fieldsHigh correlation
SBP-min is highly correlated with SBP-mean and 1 other fieldsHigh correlation
SBP-max is highly correlated with SBP-mean and 2 other fieldsHigh correlation
SBP-mean is highly correlated with SBP-min and 4 other fieldsHigh correlation
SBP-median is highly correlated with SBP-min and 4 other fieldsHigh correlation
MAP-min is highly correlated with MAP-mean and 1 other fieldsHigh correlation
MAP-max is highly correlated with SBP-max and 3 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-mean and 6 other fieldsHigh correlation
MAP-median is highly correlated with SBP-mean and 6 other fieldsHigh correlation
DBP-min is highly correlated with DBP-mean and 1 other fieldsHigh correlation
DBP-max is highly correlated with MAP-max and 2 other fieldsHigh correlation
DBP-mean is highly correlated with MAP-mean and 4 other fieldsHigh correlation
DBP-median is highly correlated with MAP-mean and 4 other fieldsHigh correlation
Resp-max is highly correlated with Resp-mean and 1 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-max and 1 other fieldsHigh correlation
Resp-median is highly correlated with Resp-max and 1 other fieldsHigh correlation
BaseExcess-min is highly correlated with BaseExcess-mean and 5 other fieldsHigh correlation
BaseExcess-max is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
HCO3-min is highly correlated with BaseExcess-min and 5 other fieldsHigh correlation
HCO3-max is highly correlated with BaseExcess-max and 5 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-min and 6 other fieldsHigh correlation
FiO2-min is highly correlated with FiO2-mean and 1 other fieldsHigh correlation
FiO2-max is highly correlated with FiO2-meanHigh correlation
FiO2-mean is highly correlated with FiO2-min and 2 other fieldsHigh correlation
FiO2-median is highly correlated with FiO2-min and 1 other fieldsHigh correlation
pH-min is highly correlated with BaseExcess-min and 2 other fieldsHigh correlation
pH-max is highly correlated with pH-mean and 1 other fieldsHigh correlation
pH-mean is highly correlated with pH-min and 2 other fieldsHigh correlation
pH-median is highly correlated with pH-min and 2 other fieldsHigh correlation
PaCO2-min is highly correlated with PaCO2-mean and 1 other fieldsHigh correlation
PaCO2-max is highly correlated with PaCO2-mean and 1 other fieldsHigh correlation
PaCO2-mean is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
PaCO2-median is highly correlated with PaCO2-min and 2 other fieldsHigh correlation
SaO2-min is highly correlated with SaO2-mean and 1 other fieldsHigh correlation
SaO2-max is highly correlated with SaO2-medianHigh correlation
SaO2-mean is highly correlated with SaO2-min and 1 other fieldsHigh correlation
SaO2-median is highly correlated with SaO2-min and 2 other fieldsHigh correlation
AST-min is highly correlated with AST-max and 2 other fieldsHigh correlation
AST-max is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-mean is highly correlated with AST-min and 2 other fieldsHigh correlation
AST-median is highly correlated with AST-min and 2 other fieldsHigh correlation
BUN-min is highly correlated with BUN-max and 6 other fieldsHigh correlation
BUN-max is highly correlated with BUN-min and 6 other fieldsHigh correlation
BUN-mean is highly correlated with BUN-min and 6 other fieldsHigh correlation
BUN-median is highly correlated with BUN-min and 6 other fieldsHigh correlation
Alkalinephos-min is highly correlated with Alkalinephos-max and 2 other fieldsHigh correlation
Alkalinephos-max is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-min and 2 other fieldsHigh correlation
Calcium-min is highly correlated with Calcium-max and 2 other fieldsHigh correlation
Calcium-max is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-mean is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Calcium-median is highly correlated with Calcium-min and 2 other fieldsHigh correlation
Chloride-min is highly correlated with Chloride-max and 2 other fieldsHigh correlation
Chloride-max is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-mean is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Chloride-median is highly correlated with Chloride-min and 2 other fieldsHigh correlation
Creatinine-min is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-max is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-mean is highly correlated with BUN-min and 6 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-min and 6 other fieldsHigh correlation
Bilirubin_direct-min is highly correlated with Bilirubin_direct-max and 6 other fieldsHigh correlation
Bilirubin_direct-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Glucose-max is highly correlated with Glucose-mean and 1 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-max and 1 other fieldsHigh correlation
Glucose-median is highly correlated with Glucose-max and 1 other fieldsHigh correlation
Lactate-min is highly correlated with Lactate-max and 2 other fieldsHigh correlation
Lactate-max is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-mean is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Lactate-median is highly correlated with Lactate-min and 2 other fieldsHigh correlation
Magnesium-min is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-max is highly correlated with Magnesium-mean and 1 other fieldsHigh correlation
Magnesium-mean is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Magnesium-median is highly correlated with Magnesium-min and 2 other fieldsHigh correlation
Phosphate-min is highly correlated with Phosphate-max and 2 other fieldsHigh correlation
Phosphate-max is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Phosphate-mean is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Phosphate-median is highly correlated with Phosphate-min and 2 other fieldsHigh correlation
Potassium-min is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-max is highly correlated with Potassium-mean and 1 other fieldsHigh correlation
Potassium-mean is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Potassium-median is highly correlated with Potassium-min and 2 other fieldsHigh correlation
Bilirubin_total-min is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-max is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-min and 6 other fieldsHigh correlation
TroponinI-min is highly correlated with TroponinI-max and 2 other fieldsHigh correlation
TroponinI-max is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
TroponinI-median is highly correlated with TroponinI-min and 2 other fieldsHigh correlation
Hct-min is highly correlated with Hct-max and 5 other fieldsHigh correlation
Hct-max is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hct-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-min is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-max is highly correlated with Hct-max and 5 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-min and 6 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-min and 6 other fieldsHigh correlation
PTT-min is highly correlated with PTT-max and 2 other fieldsHigh correlation
PTT-max is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-min and 2 other fieldsHigh correlation
PTT-median is highly correlated with PTT-min and 2 other fieldsHigh correlation
WBC-min is highly correlated with WBC-max and 2 other fieldsHigh correlation
WBC-max is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-mean is highly correlated with WBC-min and 2 other fieldsHigh correlation
WBC-median is highly correlated with WBC-min and 2 other fieldsHigh correlation
Fibrinogen-min is highly correlated with Fibrinogen-max and 2 other fieldsHigh correlation
Fibrinogen-max is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-min and 2 other fieldsHigh correlation
Platelets-min is highly correlated with Platelets-max and 2 other fieldsHigh correlation
Platelets-max is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-mean is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Platelets-median is highly correlated with Platelets-min and 2 other fieldsHigh correlation
Age-min is highly correlated with Age-max and 2 other fieldsHigh correlation
Age-max is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-mean is highly correlated with Age-min and 2 other fieldsHigh correlation
Age-median is highly correlated with Age-min and 2 other fieldsHigh correlation
Gender-min is highly correlated with Gender-max and 2 other fieldsHigh correlation
Gender-max is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-min and 2 other fieldsHigh correlation
Gender-median is highly correlated with Gender-min and 2 other fieldsHigh correlation
Unit1-min is highly correlated with Unit1-max and 6 other fieldsHigh correlation
Unit1-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-min is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-max is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-min and 6 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-min and 6 other fieldsHigh correlation
HospAdmTime-min is highly correlated with HospAdmTime-max and 2 other fieldsHigh correlation
HospAdmTime-max is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-min and 2 other fieldsHigh correlation
ICULOS-max is highly correlated with ICULOS-mean and 5 other fieldsHigh correlation
ICULOS-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
SepsisLabel-min is highly correlated with SepsisLabel-medianHigh correlation
SepsisLabel-max is highly correlated with SepsisLabel-mean and 5 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-min and 6 other fieldsHigh correlation
Sepsis-min is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-max is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-max and 5 other fieldsHigh correlation
Hours-min is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-max is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-max and 5 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit2-median and 6 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
SepsisLabel-median is highly correlated with Sepsis-min and 5 other fieldsHigh correlation
Sepsis-min is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
SepsisLabel-max is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
Gender-max is highly correlated with Gender-median and 2 other fieldsHigh correlation
Gender-median is highly correlated with Gender-max and 2 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
Unit1-min is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Unit2-max is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Unit1-max is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Sepsis-max is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
Gender-min is highly correlated with Gender-max and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-max and 2 other fieldsHigh correlation
SepsisLabel-min is highly correlated with SepsisLabel-medianHigh correlation
Unit2-min is highly correlated with Unit1-mean and 6 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-median and 4 other fieldsHigh correlation
Temp-min has 235 (1.2%) missing values Missing
Temp-max has 235 (1.2%) missing values Missing
Temp-mean has 235 (1.2%) missing values Missing
Temp-median has 235 (1.2%) missing values Missing
SBP-min has 258 (1.3%) missing values Missing
SBP-max has 258 (1.3%) missing values Missing
SBP-mean has 258 (1.3%) missing values Missing
SBP-median has 258 (1.3%) missing values Missing
DBP-min has 7384 (36.3%) missing values Missing
DBP-max has 7384 (36.3%) missing values Missing
DBP-mean has 7384 (36.3%) missing values Missing
DBP-median has 7384 (36.3%) missing values Missing
EtCO2-min has 20336 (100.0%) missing values Missing
EtCO2-max has 20336 (100.0%) missing values Missing
EtCO2-mean has 20336 (100.0%) missing values Missing
EtCO2-median has 20336 (100.0%) missing values Missing
BaseExcess-min has 7684 (37.8%) missing values Missing
BaseExcess-max has 7684 (37.8%) missing values Missing
BaseExcess-mean has 7684 (37.8%) missing values Missing
BaseExcess-median has 7684 (37.8%) missing values Missing
HCO3-min has 535 (2.6%) missing values Missing
HCO3-max has 535 (2.6%) missing values Missing
HCO3-mean has 535 (2.6%) missing values Missing
HCO3-median has 535 (2.6%) missing values Missing
FiO2-min has 8349 (41.1%) missing values Missing
FiO2-max has 8349 (41.1%) missing values Missing
FiO2-mean has 8349 (41.1%) missing values Missing
FiO2-median has 8349 (41.1%) missing values Missing
pH-min has 7155 (35.2%) missing values Missing
pH-max has 7155 (35.2%) missing values Missing
pH-mean has 7155 (35.2%) missing values Missing
pH-median has 7155 (35.2%) missing values Missing
PaCO2-min has 7759 (38.2%) missing values Missing
PaCO2-max has 7759 (38.2%) missing values Missing
PaCO2-mean has 7759 (38.2%) missing values Missing
PaCO2-median has 7759 (38.2%) missing values Missing
SaO2-min has 12373 (60.8%) missing values Missing
SaO2-max has 12373 (60.8%) missing values Missing
SaO2-mean has 12373 (60.8%) missing values Missing
SaO2-median has 12373 (60.8%) missing values Missing
AST-min has 14443 (71.0%) missing values Missing
AST-max has 14443 (71.0%) missing values Missing
AST-mean has 14443 (71.0%) missing values Missing
AST-median has 14443 (71.0%) missing values Missing
BUN-min has 427 (2.1%) missing values Missing
BUN-max has 427 (2.1%) missing values Missing
BUN-mean has 427 (2.1%) missing values Missing
BUN-median has 427 (2.1%) missing values Missing
Alkalinephos-min has 14633 (72.0%) missing values Missing
Alkalinephos-max has 14633 (72.0%) missing values Missing
Alkalinephos-mean has 14633 (72.0%) missing values Missing
Alkalinephos-median has 14633 (72.0%) missing values Missing
Calcium-min has 3789 (18.6%) missing values Missing
Calcium-max has 3789 (18.6%) missing values Missing
Calcium-mean has 3789 (18.6%) missing values Missing
Calcium-median has 3789 (18.6%) missing values Missing
Chloride-min has 542 (2.7%) missing values Missing
Chloride-max has 542 (2.7%) missing values Missing
Chloride-mean has 542 (2.7%) missing values Missing
Chloride-median has 542 (2.7%) missing values Missing
Creatinine-min has 461 (2.3%) missing values Missing
Creatinine-max has 461 (2.3%) missing values Missing
Creatinine-mean has 461 (2.3%) missing values Missing
Creatinine-median has 461 (2.3%) missing values Missing
Bilirubin_direct-min has 19750 (97.1%) missing values Missing
Bilirubin_direct-max has 19750 (97.1%) missing values Missing
Bilirubin_direct-mean has 19750 (97.1%) missing values Missing
Bilirubin_direct-median has 19750 (97.1%) missing values Missing
Glucose-min has 407 (2.0%) missing values Missing
Glucose-max has 407 (2.0%) missing values Missing
Glucose-mean has 407 (2.0%) missing values Missing
Glucose-median has 407 (2.0%) missing values Missing
Lactate-min has 12603 (62.0%) missing values Missing
Lactate-max has 12603 (62.0%) missing values Missing
Lactate-mean has 12603 (62.0%) missing values Missing
Lactate-median has 12603 (62.0%) missing values Missing
Magnesium-min has 1388 (6.8%) missing values Missing
Magnesium-max has 1388 (6.8%) missing values Missing
Magnesium-mean has 1388 (6.8%) missing values Missing
Magnesium-median has 1388 (6.8%) missing values Missing
Phosphate-min has 3650 (17.9%) missing values Missing
Phosphate-max has 3650 (17.9%) missing values Missing
Phosphate-mean has 3650 (17.9%) missing values Missing
Phosphate-median has 3650 (17.9%) missing values Missing
Potassium-min has 433 (2.1%) missing values Missing
Potassium-max has 433 (2.1%) missing values Missing
Potassium-mean has 433 (2.1%) missing values Missing
Potassium-median has 433 (2.1%) missing values Missing
Bilirubin_total-min has 14566 (71.6%) missing values Missing
Bilirubin_total-max has 14566 (71.6%) missing values Missing
Bilirubin_total-mean has 14566 (71.6%) missing values Missing
Bilirubin_total-median has 14566 (71.6%) missing values Missing
TroponinI-min has 19847 (97.6%) missing values Missing
TroponinI-max has 19847 (97.6%) missing values Missing
TroponinI-mean has 19847 (97.6%) missing values Missing
TroponinI-median has 19847 (97.6%) missing values Missing
Hct-min has 364 (1.8%) missing values Missing
Hct-max has 364 (1.8%) missing values Missing
Hct-mean has 364 (1.8%) missing values Missing
Hct-median has 364 (1.8%) missing values Missing
Hgb-min has 507 (2.5%) missing values Missing
Hgb-max has 507 (2.5%) missing values Missing
Hgb-mean has 507 (2.5%) missing values Missing
Hgb-median has 507 (2.5%) missing values Missing
PTT-min has 4496 (22.1%) missing values Missing
PTT-max has 4496 (22.1%) missing values Missing
PTT-mean has 4496 (22.1%) missing values Missing
PTT-median has 4496 (22.1%) missing values Missing
WBC-min has 625 (3.1%) missing values Missing
WBC-max has 625 (3.1%) missing values Missing
WBC-mean has 625 (3.1%) missing values Missing
WBC-median has 625 (3.1%) missing values Missing
Fibrinogen-min has 17769 (87.4%) missing values Missing
Fibrinogen-max has 17769 (87.4%) missing values Missing
Fibrinogen-mean has 17769 (87.4%) missing values Missing
Fibrinogen-median has 17769 (87.4%) missing values Missing
Platelets-min has 585 (2.9%) missing values Missing
Platelets-max has 585 (2.9%) missing values Missing
Platelets-mean has 585 (2.9%) missing values Missing
Platelets-median has 585 (2.9%) missing values Missing
Unit1-min has 9522 (46.8%) missing values Missing
Unit1-max has 9522 (46.8%) missing values Missing
Unit1-mean has 9522 (46.8%) missing values Missing
Unit1-median has 9522 (46.8%) missing values Missing
Unit2-min has 9522 (46.8%) missing values Missing
Unit2-max has 9522 (46.8%) missing values Missing
Unit2-mean has 9522 (46.8%) missing values Missing
Unit2-median has 9522 (46.8%) missing values Missing
O2Sat-max is highly skewed (γ1 = -21.73522171) Skewed
ICULOS-min is highly skewed (γ1 = 59.42175818) Skewed
PatientID has unique values Unique
EtCO2-min is an unsupported type, check if it needs cleaning or further analysis Unsupported
EtCO2-max is an unsupported type, check if it needs cleaning or further analysis Unsupported
EtCO2-mean is an unsupported type, check if it needs cleaning or further analysis Unsupported
EtCO2-median is an unsupported type, check if it needs cleaning or further analysis Unsupported
BaseExcess-min has 2278 (11.2%) zeros Zeros
BaseExcess-max has 3101 (15.2%) zeros Zeros
BaseExcess-mean has 1018 (5.0%) zeros Zeros
BaseExcess-median has 2996 (14.7%) zeros Zeros
SepsisLabel-mean has 18546 (91.2%) zeros Zeros

Reproduction

Analysis started2021-11-29 10:29:01.170034
Analysis finished2021-11-29 10:30:01.854879
Duration1 minute and 0.68 seconds
Software versionpandas-profiling v3.1.1
Download configurationconfig.json

Variables

PatientID
Real number (ℝ≥0)

UNIQUE

Distinct20336
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10173.60651
Minimum1
Maximum20643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:01.902161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1017.75
Q15084.75
median10168.5
Q315252.25
95-th percentile19320.25
Maximum20643
Range20642
Interquartile range (IQR)10167.5

Descriptive statistics

Standard deviation5879.461518
Coefficient of variation (CV)0.5779132024
Kurtosis-1.192915145
Mean10173.60651
Median Absolute Deviation (MAD)5084
Skewness0.005160825078
Sum206890462
Variance34568067.75
MonotonicityStrictly increasing
2021-11-29T11:30:01.999654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
< 0.1%
135561
 
< 0.1%
135631
 
< 0.1%
135621
 
< 0.1%
135611
 
< 0.1%
135601
 
< 0.1%
135591
 
< 0.1%
135581
 
< 0.1%
135571
 
< 0.1%
135551
 
< 0.1%
Other values (20326)20326
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
101
< 0.1%
ValueCountFrequency (%)
206431
< 0.1%
206421
< 0.1%
206411
< 0.1%
206401
< 0.1%
206391
< 0.1%
206381
< 0.1%
206371
< 0.1%
206361
< 0.1%
206351
< 0.1%
206341
< 0.1%

HR-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct193
Distinct (%)0.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean69.85490534
Minimum20
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:02.099142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile49
Q160
median69
Q378
95-th percentile93
Maximum144
Range124
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.47874653
Coefficient of variation (CV)0.1929534722
Kurtosis0.576808424
Mean69.85490534
Median Absolute Deviation (MAD)9
Skewness0.3800833214
Sum1420499.5
Variance181.6766081
MonotonicityNot monotonic
2021-11-29T11:30:02.202109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60731
 
3.6%
70710
 
3.5%
68604
 
3.0%
67584
 
2.9%
65559
 
2.7%
63550
 
2.7%
72548
 
2.7%
75543
 
2.7%
66542
 
2.7%
64539
 
2.7%
Other values (183)14425
70.9%
ValueCountFrequency (%)
201
 
< 0.1%
211
 
< 0.1%
222
< 0.1%
231
 
< 0.1%
241
 
< 0.1%
253
< 0.1%
261
 
< 0.1%
273
< 0.1%
27.51
 
< 0.1%
283
< 0.1%
ValueCountFrequency (%)
1441
< 0.1%
1401
< 0.1%
1371
< 0.1%
1351
< 0.1%
134.51
< 0.1%
1332
< 0.1%
1301
< 0.1%
1291
< 0.1%
1272
< 0.1%
1262
< 0.1%

HR-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct256
Distinct (%)1.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean103.0772658
Minimum37
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:02.301063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile75
Q190
median102
Q3115
95-th percentile136
Maximum280
Range243
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.90264183
Coefficient of variation (CV)0.1833832289
Kurtosis0.9092734871
Mean103.0772658
Median Absolute Deviation (MAD)12
Skewness0.5224319987
Sum2096076.2
Variance357.3098682
MonotonicityNot monotonic
2021-11-29T11:30:02.396441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88485
 
2.4%
90461
 
2.3%
97429
 
2.1%
100428
 
2.1%
96424
 
2.1%
91416
 
2.0%
95406
 
2.0%
99404
 
2.0%
93402
 
2.0%
107395
 
1.9%
Other values (246)16085
79.1%
ValueCountFrequency (%)
371
 
< 0.1%
451
 
< 0.1%
482
 
< 0.1%
501
 
< 0.1%
523
< 0.1%
532
 
< 0.1%
545
< 0.1%
555
< 0.1%
565
< 0.1%
56.51
 
< 0.1%
ValueCountFrequency (%)
2801
< 0.1%
2231
< 0.1%
2101
< 0.1%
2011
< 0.1%
2001
< 0.1%
1991
< 0.1%
1931
< 0.1%
1922
< 0.1%
1891
< 0.1%
1881
< 0.1%

HR-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct15835
Distinct (%)77.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean84.54890909
Minimum30.25806452
Maximum150.8888889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:02.490294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30.25806452
5-th percentile62.23484848
Q174.67936623
median83.83333333
Q393.63794926
95-th percentile108.950766
Maximum150.8888889
Range120.6308244
Interquartile range (IQR)18.95858303

Descriptive statistics

Standard deviation14.22214204
Coefficient of variation (CV)0.1682120111
Kurtosis0.1909661708
Mean84.54890909
Median Absolute Deviation (MAD)9.49122807
Skewness0.2977791885
Sum1719302.066
Variance202.2693241
MonotonicityNot monotonic
2021-11-29T11:30:02.593082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8821
 
0.1%
8018
 
0.1%
7017
 
0.1%
8117
 
0.1%
8316
 
0.1%
78.516
 
0.1%
7715
 
0.1%
7815
 
0.1%
7414
 
0.1%
9014
 
0.1%
Other values (15825)20172
99.2%
ValueCountFrequency (%)
30.258064521
< 0.1%
35.410256411
< 0.1%
39.619047621
< 0.1%
40.561403511
< 0.1%
411
< 0.1%
42.014285711
< 0.1%
42.411764711
< 0.1%
42.588235291
< 0.1%
42.765957451
< 0.1%
43.583333331
< 0.1%
ValueCountFrequency (%)
150.88888891
< 0.1%
150.16666671
< 0.1%
145.81
< 0.1%
145.25862071
< 0.1%
145.15384621
< 0.1%
144.18292681
< 0.1%
143.78260871
< 0.1%
142.43751
< 0.1%
142.06060611
< 0.1%
141.35294121
< 0.1%

HR-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct353
Distinct (%)1.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean84.06217113
Minimum30
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:02.692348image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile61
Q174
median83.5
Q393
95-th percentile109
Maximum151
Range121
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.66009796
Coefficient of variation (CV)0.1743958996
Kurtosis0.2189910597
Mean84.06217113
Median Absolute Deviation (MAD)9.5
Skewness0.3030333462
Sum1709404.25
Variance214.9184721
MonotonicityNot monotonic
2021-11-29T11:30:02.794139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80700
 
3.4%
90476
 
2.3%
88475
 
2.3%
84444
 
2.2%
82430
 
2.1%
85412
 
2.0%
79411
 
2.0%
70404
 
2.0%
77398
 
2.0%
87394
 
1.9%
Other values (343)15791
77.7%
ValueCountFrequency (%)
302
 
< 0.1%
331
 
< 0.1%
341
 
< 0.1%
361
 
< 0.1%
38.51
 
< 0.1%
391
 
< 0.1%
402
 
< 0.1%
41.51
 
< 0.1%
423
< 0.1%
435
< 0.1%
ValueCountFrequency (%)
1512
< 0.1%
1492
< 0.1%
1472
< 0.1%
1441
 
< 0.1%
142.751
 
< 0.1%
142.53
< 0.1%
1422
< 0.1%
141.52
< 0.1%
1402
< 0.1%
139.51
 
< 0.1%

O2Sat-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct127
Distinct (%)0.6%
Missing12
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean91.99768746
Minimum20
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:02.896758image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile83
Q191
median93
Q395
95-th percentile98
Maximum100
Range80
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.722424054
Coefficient of variation (CV)0.07307166342
Kurtosis34.1866847
Mean91.99768746
Median Absolute Deviation (MAD)2
Skewness-4.824982492
Sum1869761
Variance45.19098516
MonotonicityNot monotonic
2021-11-29T11:30:02.995258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
942694
13.2%
932566
12.6%
952335
11.5%
922206
10.8%
961734
8.5%
911478
 
7.3%
971112
 
5.5%
901043
 
5.1%
98668
 
3.3%
89625
 
3.1%
Other values (117)3863
19.0%
ValueCountFrequency (%)
202
 
< 0.1%
212
 
< 0.1%
225
< 0.1%
232
 
< 0.1%
242
 
< 0.1%
253
< 0.1%
264
< 0.1%
275
< 0.1%
286
< 0.1%
293
< 0.1%
ValueCountFrequency (%)
100166
 
0.8%
99.515
 
0.1%
99317
 
1.6%
98.527
 
0.1%
98668
 
3.3%
97.541
 
0.2%
971112
5.5%
96.574
 
0.4%
961734
8.5%
95.588
 
0.4%

O2Sat-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct35
Distinct (%)0.2%
Missing12
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean99.63535721
Minimum27
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:03.092272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile98
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range73
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.28680395
Coefficient of variation (CV)0.0129151336
Kurtosis925.7564832
Mean99.63535721
Median Absolute Deviation (MAD)0
Skewness-21.73522171
Sum2024989
Variance1.655864405
MonotonicityNot monotonic
2021-11-29T11:30:03.179933image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
10016312
80.2%
992030
 
10.0%
981025
 
5.0%
97414
 
2.0%
99.5150
 
0.7%
96143
 
0.7%
98.572
 
0.4%
9548
 
0.2%
97.536
 
0.2%
9421
 
0.1%
Other values (25)73
 
0.4%
ValueCountFrequency (%)
271
 
< 0.1%
361
 
< 0.1%
652
< 0.1%
671
 
< 0.1%
713
< 0.1%
761
 
< 0.1%
792
< 0.1%
821
 
< 0.1%
832
< 0.1%
841
 
< 0.1%
ValueCountFrequency (%)
10016312
80.2%
99.5150
 
0.7%
992030
 
10.0%
98.572
 
0.4%
981025
 
5.0%
97.536
 
0.2%
97414
 
2.0%
96.517
 
0.1%
96143
 
0.7%
95.58
 
< 0.1%

O2Sat-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7624
Distinct (%)37.5%
Missing12
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean97.20110086
Minimum27
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:03.280600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile94.29685185
Q196.27272727
median97.44680851
Q398.51681034
95-th percentile99.65
Maximum100
Range73
Interquartile range (IQR)2.244083072

Descriptive statistics

Standard deviation2.233046467
Coefficient of variation (CV)0.02297346889
Kurtosis138.6936321
Mean97.20110086
Median Absolute Deviation (MAD)1.115691489
Skewness-7.318368528
Sum1975515.174
Variance4.986496523
MonotonicityNot monotonic
2021-11-29T11:30:03.378137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100166
 
0.8%
97132
 
0.6%
99102
 
0.5%
98101
 
0.5%
9699
 
0.5%
97.587
 
0.4%
98.585
 
0.4%
96.573
 
0.4%
99.560
 
0.3%
9553
 
0.3%
Other values (7614)19366
95.2%
ValueCountFrequency (%)
271
< 0.1%
34.251
< 0.1%
491
< 0.1%
55.51
< 0.1%
56.302631581
< 0.1%
57.51
< 0.1%
61.954545451
< 0.1%
65.81
< 0.1%
66.251
< 0.1%
66.51
< 0.1%
ValueCountFrequency (%)
100166
0.8%
99.988888891
 
< 0.1%
99.986842111
 
< 0.1%
99.986111111
 
< 0.1%
99.983870972
 
< 0.1%
99.983333331
 
< 0.1%
99.982758621
 
< 0.1%
99.981818181
 
< 0.1%
99.982
 
< 0.1%
99.979591841
 
< 0.1%

O2Sat-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct86
Distinct (%)0.4%
Missing12
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean97.47929787
Minimum27
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:03.481709image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile94
Q196
median98
Q399
95-th percentile100
Maximum100
Range73
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.316854526
Coefficient of variation (CV)0.0237676571
Kurtosis126.0227646
Mean97.47929787
Median Absolute Deviation (MAD)1
Skewness-6.629905027
Sum1981169.25
Variance5.367814894
MonotonicityNot monotonic
2021-11-29T11:30:03.902850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
983484
17.1%
973382
16.6%
1003198
15.7%
992968
14.6%
962590
12.7%
951307
 
6.4%
94548
 
2.7%
97.5438
 
2.2%
98.5370
 
1.8%
96.5340
 
1.7%
Other values (76)1699
8.4%
ValueCountFrequency (%)
271
< 0.1%
34.251
< 0.1%
491
< 0.1%
51.751
< 0.1%
55.51
< 0.1%
57.51
< 0.1%
581
< 0.1%
631
< 0.1%
64.251
< 0.1%
652
< 0.1%
ValueCountFrequency (%)
1003198
15.7%
99.7567
 
0.3%
99.5250
 
1.2%
99.2568
 
0.3%
992968
14.6%
98.7574
 
0.4%
98.5370
 
1.8%
98.2572
 
0.4%
983484
17.1%
97.7572
 
0.4%

Temp-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct301
Distinct (%)1.5%
Missing235
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean36.06567633
Minimum20.9
Maximum39.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:04.006386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20.9
5-th percentile35
Q135.67
median36.11
Q336.5
95-th percentile37.11
Maximum39.33
Range18.43
Interquartile range (IQR)0.83

Descriptive statistics

Standard deviation0.7491865947
Coefficient of variation (CV)0.02077284196
Kurtosis36.72512892
Mean36.06567633
Median Absolute Deviation (MAD)0.41
Skewness-2.815209632
Sum724956.16
Variance0.5612805537
MonotonicityNot monotonic
2021-11-29T11:30:04.104050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.111168
 
5.7%
35.56850
 
4.2%
36750
 
3.7%
36.17632
 
3.1%
36.44628
 
3.1%
36.67596
 
2.9%
36.22591
 
2.9%
36.56586
 
2.9%
35.83584
 
2.9%
36.28578
 
2.8%
Other values (291)13138
64.6%
ValueCountFrequency (%)
20.91
 
< 0.1%
211
 
< 0.1%
231
 
< 0.1%
23.61
 
< 0.1%
26.61
 
< 0.1%
26.675
< 0.1%
281
 
< 0.1%
29.61
 
< 0.1%
29.611
 
< 0.1%
29.81
 
< 0.1%
ValueCountFrequency (%)
39.331
< 0.1%
39.171
< 0.1%
39.111
< 0.1%
38.891
< 0.1%
38.831
< 0.1%
38.781
< 0.1%
38.671
< 0.1%
38.612
< 0.1%
38.562
< 0.1%
38.51
< 0.1%

Temp-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct249
Distinct (%)1.2%
Missing235
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean37.60381872
Minimum30.5
Maximum42.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:04.206831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30.5
5-th percentile36.56
Q137.11
median37.56
Q338.05
95-th percentile38.89
Maximum42.22
Range11.72
Interquartile range (IQR)0.94

Descriptive statistics

Standard deviation0.7304004107
Coefficient of variation (CV)0.01942357015
Kurtosis1.837707155
Mean37.60381872
Median Absolute Deviation (MAD)0.45
Skewness0.2724133215
Sum755874.36
Variance0.53348476
MonotonicityNot monotonic
2021-11-29T11:30:04.311758image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.67690
 
3.4%
37690
 
3.4%
37.17686
 
3.4%
38665
 
3.3%
37.5653
 
3.2%
37.44627
 
3.1%
37.11570
 
2.8%
37.33561
 
2.8%
37.56545
 
2.7%
36.89538
 
2.6%
Other values (239)13876
68.2%
ValueCountFrequency (%)
30.51
 
< 0.1%
32.61
 
< 0.1%
32.71
 
< 0.1%
33.441
 
< 0.1%
33.52
< 0.1%
33.62
< 0.1%
33.72
< 0.1%
34.251
 
< 0.1%
34.281
 
< 0.1%
34.444
< 0.1%
ValueCountFrequency (%)
42.221
< 0.1%
41.61
< 0.1%
41.441
< 0.1%
41.221
< 0.1%
41.171
< 0.1%
41.112
< 0.1%
411
< 0.1%
40.832
< 0.1%
40.781
< 0.1%
40.611
< 0.1%

Temp-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct10695
Distinct (%)53.2%
Missing235
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean36.91389324
Minimum30.5
Maximum39.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:04.412918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30.5
5-th percentile36.06636364
Q136.561
median36.90285714
Q337.26333333
95-th percentile37.81818182
Maximum39.61
Range9.11
Interquartile range (IQR)0.7023333333

Descriptive statistics

Standard deviation0.5575562462
Coefficient of variation (CV)0.01510423847
Kurtosis3.197251831
Mean36.91389324
Median Absolute Deviation (MAD)0.3500571429
Skewness-0.2923179345
Sum742006.1681
Variance0.3108689677
MonotonicityNot monotonic
2021-11-29T11:30:04.507645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.554
 
0.3%
3754
 
0.3%
36.8954
 
0.3%
36.6148
 
0.2%
36.3946
 
0.2%
36.7537
 
0.2%
36.8333333330
 
0.1%
36.7229
 
0.1%
36.94529
 
0.1%
36.7828
 
0.1%
Other values (10685)19692
96.8%
(Missing)235
 
1.2%
ValueCountFrequency (%)
30.51
< 0.1%
32.351
< 0.1%
32.456363641
< 0.1%
32.521
< 0.1%
32.751
< 0.1%
33.041
< 0.1%
33.068421051
< 0.1%
33.116666671
< 0.1%
33.171
< 0.1%
33.38251
< 0.1%
ValueCountFrequency (%)
39.611
< 0.1%
39.3851
< 0.1%
39.3581
< 0.1%
39.34751
< 0.1%
39.2031
< 0.1%
39.1561
< 0.1%
39.1541
< 0.1%
39.110909091
< 0.1%
39.111
< 0.1%
39.091428571
< 0.1%

Temp-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct547
Distinct (%)2.7%
Missing235
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean36.94550992
Minimum30.5
Maximum40.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:04.604770image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30.5
5-th percentile36.06
Q136.56
median36.94
Q337.33
95-th percentile37.89
Maximum40.03
Range9.53
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation0.5880792486
Coefficient of variation (CV)0.01591747549
Kurtosis2.959195879
Mean36.94550992
Median Absolute Deviation (MAD)0.38
Skewness-0.3045890144
Sum742641.695
Variance0.3458372027
MonotonicityNot monotonic
2021-11-29T11:30:04.701349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37805
 
4.0%
36.89662
 
3.3%
36.67657
 
3.2%
36.78460
 
2.3%
36.56442
 
2.2%
37.5430
 
2.1%
36.5397
 
2.0%
36.72390
 
1.9%
37.17386
 
1.9%
37.11368
 
1.8%
Other values (537)15104
74.3%
ValueCountFrequency (%)
30.51
< 0.1%
31.671
< 0.1%
32.351
< 0.1%
32.521
< 0.1%
32.641
< 0.1%
32.91
< 0.1%
331
< 0.1%
33.111
< 0.1%
33.151
< 0.1%
33.251
< 0.1%
ValueCountFrequency (%)
40.031
< 0.1%
39.71
< 0.1%
39.611
< 0.1%
39.51
< 0.1%
39.351
< 0.1%
39.332
< 0.1%
39.31
< 0.1%
39.281
< 0.1%
39.221
< 0.1%
39.151
< 0.1%

SBP-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct357
Distinct (%)1.8%
Missing258
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean95.49430421
Minimum22
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:04.797313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile74
Q186
median93.875
Q3103.5
95-th percentile123
Maximum190
Range168
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation15.27570332
Coefficient of variation (CV)0.1599645492
Kurtosis2.112483679
Mean95.49430421
Median Absolute Deviation (MAD)8.375
Skewness0.5256272955
Sum1917334.64
Variance233.347112
MonotonicityNot monotonic
2021-11-29T11:30:04.890427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90794
 
3.9%
91695
 
3.4%
92641
 
3.2%
93630
 
3.1%
94606
 
3.0%
95595
 
2.9%
89554
 
2.7%
88530
 
2.6%
97529
 
2.6%
87477
 
2.3%
Other values (347)14027
69.0%
ValueCountFrequency (%)
221
< 0.1%
23.51
< 0.1%
241
< 0.1%
251
< 0.1%
262
< 0.1%
271
< 0.1%
27.51
< 0.1%
282
< 0.1%
292
< 0.1%
301
< 0.1%
ValueCountFrequency (%)
1901
< 0.1%
1871
< 0.1%
1811
< 0.1%
1802
< 0.1%
178.51
< 0.1%
1761
< 0.1%
1741
< 0.1%
1721
< 0.1%
1702
< 0.1%
1691
< 0.1%

SBP-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct392
Distinct (%)2.0%
Missing258
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean147.9312805
Minimum35
Maximum281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:04.987086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile115.5
Q1132
median146
Q3162
95-th percentile188
Maximum281
Range246
Interquartile range (IQR)30

Descriptive statistics

Standard deviation22.38826445
Coefficient of variation (CV)0.1513423285
Kurtosis0.5512952967
Mean147.9312805
Median Absolute Deviation (MAD)15
Skewness0.5090325192
Sum2970164.25
Variance501.234385
MonotonicityNot monotonic
2021-11-29T11:30:05.085745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140383
 
1.9%
148367
 
1.8%
142363
 
1.8%
141360
 
1.8%
144355
 
1.7%
138348
 
1.7%
147343
 
1.7%
136341
 
1.7%
137335
 
1.6%
146334
 
1.6%
Other values (382)16549
81.4%
ValueCountFrequency (%)
351
 
< 0.1%
69.51
 
< 0.1%
721
 
< 0.1%
741
 
< 0.1%
752
< 0.1%
75.51
 
< 0.1%
78.51
 
< 0.1%
811
 
< 0.1%
824
< 0.1%
82.251
 
< 0.1%
ValueCountFrequency (%)
2811
< 0.1%
2741
< 0.1%
272.51
< 0.1%
2721
< 0.1%
2501
< 0.1%
2471
< 0.1%
2461
< 0.1%
2452
< 0.1%
2421
< 0.1%
2411
< 0.1%

SBP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct15880
Distinct (%)79.1%
Missing258
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean120.24809
Minimum35
Maximum214.8181818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:05.185140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile97.56234631
Q1108.5416667
median118.0976935
Q3130.2128258
95-th percentile150.3529419
Maximum214.8181818
Range179.8181818
Interquartile range (IQR)21.67115909

Descriptive statistics

Standard deviation16.44958943
Coefficient of variation (CV)0.1367970953
Kurtosis0.6297223171
Mean120.24809
Median Absolute Deviation (MAD)10.55658993
Skewness0.5637393354
Sum2414341.152
Variance270.5889925
MonotonicityNot monotonic
2021-11-29T11:30:05.283069image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.519
 
0.1%
11718
 
0.1%
115.518
 
0.1%
118.517
 
0.1%
12517
 
0.1%
11616
 
0.1%
11316
 
0.1%
107.515
 
0.1%
10815
 
0.1%
11915
 
0.1%
Other values (15870)19912
97.9%
(Missing)258
 
1.3%
ValueCountFrequency (%)
351
< 0.1%
48.517241381
< 0.1%
52.2751
< 0.1%
57.31251
< 0.1%
57.392857141
< 0.1%
58.166666671
< 0.1%
58.7251
< 0.1%
63.024390241
< 0.1%
63.051
< 0.1%
63.159090911
< 0.1%
ValueCountFrequency (%)
214.81818181
< 0.1%
207.05555561
< 0.1%
197.79166671
< 0.1%
194.66666671
< 0.1%
193.36363641
< 0.1%
191.86842111
< 0.1%
188.2450981
< 0.1%
187.751
< 0.1%
187.64705881
< 0.1%
1871
< 0.1%

SBP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct497
Distinct (%)2.5%
Missing258
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean119.8992283
Minimum35
Maximum216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:05.387116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile96.5
Q1107.75
median117.5
Q3130
95-th percentile151
Maximum216
Range181
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation17.09910417
Coefficient of variation (CV)0.1426122955
Kurtosis0.5591623812
Mean119.8992283
Median Absolute Deviation (MAD)11
Skewness0.5726205633
Sum2407336.705
Variance292.3793633
MonotonicityNot monotonic
2021-11-29T11:30:05.579664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110365
 
1.8%
109359
 
1.8%
112357
 
1.8%
111355
 
1.7%
115352
 
1.7%
117343
 
1.7%
116343
 
1.7%
114340
 
1.7%
113334
 
1.6%
119327
 
1.6%
Other values (487)16603
81.6%
ValueCountFrequency (%)
351
< 0.1%
361
< 0.1%
451
< 0.1%
551
< 0.1%
562
< 0.1%
56.51
< 0.1%
571
< 0.1%
58.51
< 0.1%
611
< 0.1%
62.51
< 0.1%
ValueCountFrequency (%)
2161
 
< 0.1%
2061
 
< 0.1%
199.51
 
< 0.1%
1921
 
< 0.1%
191.51
 
< 0.1%
1911
 
< 0.1%
1902
< 0.1%
1872
< 0.1%
1861
 
< 0.1%
1854
< 0.1%

MAP-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct399
Distinct (%)2.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.455898
Minimum20
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:05.687447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile43.67
Q154
median60
Q366.67
95-th percentile79
Maximum125
Range105
Interquartile range (IQR)12.67

Descriptive statistics

Standard deviation11.0197621
Coefficient of variation (CV)0.1822777011
Kurtosis1.542480159
Mean60.455898
Median Absolute Deviation (MAD)6
Skewness0.1463582959
Sum1229310.23
Variance121.4351568
MonotonicityNot monotonic
2021-11-29T11:30:05.784951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60717
 
3.5%
59683
 
3.4%
61666
 
3.3%
57654
 
3.2%
58650
 
3.2%
62611
 
3.0%
63609
 
3.0%
56570
 
2.8%
64547
 
2.7%
55545
 
2.7%
Other values (389)14082
69.2%
ValueCountFrequency (%)
2019
0.1%
20.331
 
< 0.1%
20.52
 
< 0.1%
217
 
< 0.1%
21.331
 
< 0.1%
21.51
 
< 0.1%
2215
0.1%
22.53
 
< 0.1%
2312
0.1%
23.51
 
< 0.1%
ValueCountFrequency (%)
1251
< 0.1%
119.51
< 0.1%
1181
< 0.1%
1171
< 0.1%
1161
< 0.1%
115.51
< 0.1%
114.671
< 0.1%
114.331
< 0.1%
112.671
< 0.1%
111.671
< 0.1%

MAP-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct638
Distinct (%)3.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean102.2692102
Minimum22
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:05.880239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile78
Q189
median98.67
Q3110
95-th percentile135
Maximum300
Range278
Interquartile range (IQR)21

Descriptive statistics

Standard deviation22.68689705
Coefficient of variation (CV)0.2218350666
Kurtosis17.90611098
Mean102.2692102
Median Absolute Deviation (MAD)10.66
Skewness3.143988092
Sum2079542.12
Variance514.6952979
MonotonicityNot monotonic
2021-11-29T11:30:05.973784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94425
 
2.1%
96422
 
2.1%
93406
 
2.0%
89402
 
2.0%
98401
 
2.0%
88397
 
2.0%
91395
 
1.9%
92391
 
1.9%
95389
 
1.9%
97385
 
1.9%
Other values (628)16321
80.3%
ValueCountFrequency (%)
221
< 0.1%
49.671
< 0.1%
501
< 0.1%
521
< 0.1%
531
< 0.1%
542
< 0.1%
54.331
< 0.1%
551
< 0.1%
562
< 0.1%
57.51
< 0.1%
ValueCountFrequency (%)
3001
 
< 0.1%
2983
< 0.1%
2972
< 0.1%
2954
< 0.1%
2943
< 0.1%
2931
 
< 0.1%
2921
 
< 0.1%
2912
< 0.1%
2902
< 0.1%
2891
 
< 0.1%

MAP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct17616
Distinct (%)86.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean78.47385076
Minimum22
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:06.073547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile63.52564938
Q170.95047619
median77.05555556
Q384.76273148
95-th percentile97.9781875
Maximum149
Range127
Interquartile range (IQR)13.81225529

Descriptive statistics

Standard deviation10.78266445
Coefficient of variation (CV)0.1374045538
Kurtosis1.015771754
Mean78.47385076
Median Absolute Deviation (MAD)6.766929825
Skewness0.6675458805
Sum1595687.281
Variance116.2658527
MonotonicityNot monotonic
2021-11-29T11:30:06.177412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7917
 
0.1%
7317
 
0.1%
7116
 
0.1%
79.515
 
0.1%
73.6666666714
 
0.1%
7413
 
0.1%
7813
 
0.1%
7613
 
0.1%
6912
 
0.1%
7512
 
0.1%
Other values (17606)20192
99.3%
ValueCountFrequency (%)
221
< 0.1%
32.425185191
< 0.1%
36.19151
< 0.1%
40.634193551
< 0.1%
411
< 0.1%
41.81
< 0.1%
41.9171
< 0.1%
43.0421
< 0.1%
43.2491
< 0.1%
43.51
< 0.1%
ValueCountFrequency (%)
1491
< 0.1%
141.54166671
< 0.1%
140.06578951
< 0.1%
133.14814811
< 0.1%
131.751
< 0.1%
131.28681
< 0.1%
131.11166671
< 0.1%
130.093751
< 0.1%
129.81251
< 0.1%
129.36363641
< 0.1%

MAP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct854
Distinct (%)4.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean77.93093882
Minimum22
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:06.277270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile62.5
Q170
median76.25
Q384.5
95-th percentile98
Maximum142
Range120
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation11.1309419
Coefficient of variation (CV)0.1428308457
Kurtosis0.934054842
Mean77.93093882
Median Absolute Deviation (MAD)6.92
Skewness0.677033949
Sum1584647.71
Variance123.8978676
MonotonicityNot monotonic
2021-11-29T11:30:06.375094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72534
 
2.6%
73495
 
2.4%
71494
 
2.4%
74491
 
2.4%
76483
 
2.4%
75480
 
2.4%
70465
 
2.3%
69443
 
2.2%
77416
 
2.0%
68411
 
2.0%
Other values (844)15622
76.8%
ValueCountFrequency (%)
221
 
< 0.1%
27.251
 
< 0.1%
301
 
< 0.1%
34.51
 
< 0.1%
35.831
 
< 0.1%
411
 
< 0.1%
422
< 0.1%
43.251
 
< 0.1%
43.421
 
< 0.1%
443
< 0.1%
ValueCountFrequency (%)
1421
< 0.1%
1391
< 0.1%
1341
< 0.1%
133.51
< 0.1%
1331
< 0.1%
131.0851
< 0.1%
1301
< 0.1%
128.671
< 0.1%
128.51
< 0.1%
1281
< 0.1%

DBP-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct172
Distinct (%)1.3%
Missing7384
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean47.79153799
Minimum20
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:06.470822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile34
Q142
median47
Q353
95-th percentile65
Maximum134
Range114
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.714343907
Coefficient of variation (CV)0.2032649359
Kurtosis2.265192247
Mean47.79153799
Median Absolute Deviation (MAD)6
Skewness0.7682855006
Sum618996
Variance94.36847754
MonotonicityNot monotonic
2021-11-29T11:30:06.570028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44598
 
2.9%
48576
 
2.8%
46575
 
2.8%
45567
 
2.8%
47565
 
2.8%
43538
 
2.6%
50531
 
2.6%
49521
 
2.6%
42488
 
2.4%
41452
 
2.2%
Other values (162)7541
37.1%
(Missing)7384
36.3%
ValueCountFrequency (%)
2012
0.1%
20.51
 
< 0.1%
215
 
< 0.1%
21.51
 
< 0.1%
2210
< 0.1%
22.51
 
< 0.1%
2319
0.1%
23.251
 
< 0.1%
2414
0.1%
24.53
 
< 0.1%
ValueCountFrequency (%)
1341
< 0.1%
1171
< 0.1%
1081
< 0.1%
1051
< 0.1%
100.51
< 0.1%
981
< 0.1%
971
< 0.1%
961
< 0.1%
952
< 0.1%
94.51
< 0.1%

DBP-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct265
Distinct (%)2.0%
Missing7384
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean78.33315318
Minimum29
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:06.668275image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile57
Q167
median75
Q386
95-th percentile109
Maximum298
Range269
Interquartile range (IQR)19

Descriptive statistics

Standard deviation18.07409145
Coefficient of variation (CV)0.2307336129
Kurtosis12.44502426
Mean78.33315318
Median Absolute Deviation (MAD)9
Skewness2.199041031
Sum1014571
Variance326.6727816
MonotonicityNot monotonic
2021-11-29T11:30:06.766567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68376
 
1.8%
70358
 
1.8%
72358
 
1.8%
69358
 
1.8%
73344
 
1.7%
71343
 
1.7%
66333
 
1.6%
74326
 
1.6%
67320
 
1.6%
78317
 
1.6%
Other values (255)9519
46.8%
(Missing)7384
36.3%
ValueCountFrequency (%)
291
< 0.1%
311
< 0.1%
321
< 0.1%
32.751
< 0.1%
341
< 0.1%
361
< 0.1%
36.51
< 0.1%
382
< 0.1%
391
< 0.1%
402
< 0.1%
ValueCountFrequency (%)
2981
< 0.1%
2871
< 0.1%
2721
< 0.1%
2691
< 0.1%
2681
< 0.1%
2671
< 0.1%
2461
< 0.1%
2321
< 0.1%
2221
< 0.1%
2211
< 0.1%

DBP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct9586
Distinct (%)74.0%
Missing7384
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean60.1749596
Minimum27.33333333
Maximum135.7222222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:06.866461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum27.33333333
5-th percentile46.05235369
Q153.34050325
median59.01934524
Q365.85958501
95-th percentile78.06965409
Maximum135.7222222
Range108.3888889
Interquartile range (IQR)12.51908177

Descriptive statistics

Standard deviation9.920291131
Coefficient of variation (CV)0.1648574623
Kurtosis1.447456563
Mean60.1749596
Median Absolute Deviation (MAD)6.153132992
Skewness0.7141169379
Sum779386.0767
Variance98.41217612
MonotonicityNot monotonic
2021-11-29T11:30:06.966856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5526
 
0.1%
5922
 
0.1%
6121
 
0.1%
6221
 
0.1%
6020
 
0.1%
6820
 
0.1%
5419
 
0.1%
6319
 
0.1%
52.519
 
0.1%
5618
 
0.1%
Other values (9576)12747
62.7%
(Missing)7384
36.3%
ValueCountFrequency (%)
27.333333331
 
< 0.1%
27.5251
 
< 0.1%
28.583333331
 
< 0.1%
293
< 0.1%
29.095744681
 
< 0.1%
30.764705881
 
< 0.1%
32.4751
 
< 0.1%
32.666666671
 
< 0.1%
32.833333331
 
< 0.1%
32.913636361
 
< 0.1%
ValueCountFrequency (%)
135.72222221
< 0.1%
1341
< 0.1%
116.54545451
< 0.1%
115.83333331
< 0.1%
110.751
< 0.1%
109.91
< 0.1%
108.6251
< 0.1%
1081
< 0.1%
107.81
< 0.1%
107.19565221
< 0.1%

DBP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct279
Distinct (%)2.2%
Missing7384
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean59.51185145
Minimum22
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:07.067703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile45
Q153
median58
Q365
95-th percentile78
Maximum134
Range112
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.02244819
Coefficient of variation (CV)0.1684109626
Kurtosis1.393943938
Mean59.51185145
Median Absolute Deviation (MAD)6
Skewness0.7247974181
Sum770797.5
Variance100.4494677
MonotonicityNot monotonic
2021-11-29T11:30:07.259782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55460
 
2.3%
57454
 
2.2%
56422
 
2.1%
53421
 
2.1%
58398
 
2.0%
59396
 
1.9%
54387
 
1.9%
52379
 
1.9%
60377
 
1.9%
62359
 
1.8%
Other values (269)8899
43.8%
(Missing)7384
36.3%
ValueCountFrequency (%)
221
 
< 0.1%
261
 
< 0.1%
27.51
 
< 0.1%
281
 
< 0.1%
295
< 0.1%
301
 
< 0.1%
311
 
< 0.1%
31.51
 
< 0.1%
31.751
 
< 0.1%
322
 
< 0.1%
ValueCountFrequency (%)
1341
< 0.1%
1311
< 0.1%
1121
< 0.1%
110.751
< 0.1%
1101
< 0.1%
109.51
< 0.1%
108.51
< 0.1%
1082
< 0.1%
1071
< 0.1%
1051
< 0.1%

Resp-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct82
Distinct (%)0.4%
Missing28
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean12.03610597
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:07.359871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q110
median12
Q314
95-th percentile18
Maximum33
Range32
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.440104721
Coefficient of variation (CV)0.2858154232
Kurtosis1.296419962
Mean12.03610597
Median Absolute Deviation (MAD)2
Skewness0.4076623679
Sum244429.24
Variance11.83432049
MonotonicityNot monotonic
2021-11-29T11:30:07.455256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122942
14.5%
102611
12.8%
142085
10.3%
112029
10.0%
131785
8.8%
91375
 
6.8%
151144
 
5.6%
81076
 
5.3%
161024
 
5.0%
7595
 
2.9%
Other values (72)3642
17.9%
ValueCountFrequency (%)
119
 
0.1%
251
 
0.3%
2.51
 
< 0.1%
3100
0.5%
3.53
 
< 0.1%
3.841
 
< 0.1%
4124
0.6%
4.52
 
< 0.1%
5177
0.9%
5.251
 
< 0.1%
ValueCountFrequency (%)
331
 
< 0.1%
321
 
< 0.1%
302
 
< 0.1%
292
 
< 0.1%
28.51
 
< 0.1%
2810
< 0.1%
275
 
< 0.1%
26.51
 
< 0.1%
2616
0.1%
25.51
 
< 0.1%

Resp-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct131
Distinct (%)0.6%
Missing28
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean27.01727152
Minimum9.5
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:07.553652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.5
5-th percentile19
Q123
median26
Q330
95-th percentile39
Maximum69
Range59.5
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.405685686
Coefficient of variation (CV)0.2370959511
Kurtosis3.699797033
Mean27.01727152
Median Absolute Deviation (MAD)4
Skewness1.3589424
Sum548666.75
Variance41.03280911
MonotonicityNot monotonic
2021-11-29T11:30:07.646904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
241604
 
7.9%
251529
 
7.5%
221394
 
6.9%
261388
 
6.8%
231383
 
6.8%
271264
 
6.2%
281249
 
6.1%
29971
 
4.8%
21960
 
4.7%
20906
 
4.5%
Other values (121)7660
37.7%
ValueCountFrequency (%)
9.51
 
< 0.1%
105
 
< 0.1%
127
 
< 0.1%
133
 
< 0.1%
13.53
 
< 0.1%
13.751
 
< 0.1%
1441
0.2%
14.251
 
< 0.1%
14.58
 
< 0.1%
1537
0.2%
ValueCountFrequency (%)
693
 
< 0.1%
677
< 0.1%
662
 
< 0.1%
65.51
 
< 0.1%
655
< 0.1%
646
< 0.1%
634
 
< 0.1%
621
 
< 0.1%
613
 
< 0.1%
6011
0.1%

Resp-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct11537
Distinct (%)56.8%
Missing28
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.59127165
Minimum7.739130435
Maximum41.66666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:07.747923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.739130435
5-th percentile13.5625
Q116.05952381
median18.09175084
Q320.57366558
95-th percentile25.32476351
Maximum41.66666667
Range33.92753623
Interquartile range (IQR)4.514141768

Descriptive statistics

Standard deviation3.651738089
Coefficient of variation (CV)0.1964221791
Kurtosis1.590410436
Mean18.59127165
Median Absolute Deviation (MAD)2.216750842
Skewness0.903422218
Sum377551.5446
Variance13.33519107
MonotonicityNot monotonic
2021-11-29T11:30:07.845084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1671
 
0.3%
1862
 
0.3%
1758
 
0.3%
2049
 
0.2%
17.548
 
0.2%
16.545
 
0.2%
1944
 
0.2%
1543
 
0.2%
18.541
 
0.2%
15.540
 
0.2%
Other values (11527)19807
97.4%
ValueCountFrequency (%)
7.7391304351
< 0.1%
8.4047619051
< 0.1%
91
< 0.1%
9.21
< 0.1%
9.3636363641
< 0.1%
9.4293478261
< 0.1%
9.51
< 0.1%
9.6086956521
< 0.1%
9.6666666671
< 0.1%
9.7908163271
< 0.1%
ValueCountFrequency (%)
41.666666671
< 0.1%
40.222222221
< 0.1%
39.51
< 0.1%
38.153846151
< 0.1%
37.913043481
< 0.1%
37.751
< 0.1%
37.357142861
< 0.1%
37.31251
< 0.1%
36.877272731
< 0.1%
36.751
< 0.1%

Resp-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct156
Distinct (%)0.8%
Missing28
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.3511333
Minimum6
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:07.947434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile13
Q116
median18
Q320.5
95-th percentile25
Maximum42
Range36
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.862887796
Coefficient of variation (CV)0.2104985961
Kurtosis1.457467162
Mean18.3511333
Median Absolute Deviation (MAD)2
Skewness0.8452002569
Sum372674.815
Variance14.92190212
MonotonicityNot monotonic
2021-11-29T11:30:08.044308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
162060
 
10.1%
182007
 
9.9%
171741
 
8.6%
201562
 
7.7%
191385
 
6.8%
151272
 
6.3%
141206
 
5.9%
21991
 
4.9%
22875
 
4.3%
23572
 
2.8%
Other values (146)6637
32.6%
ValueCountFrequency (%)
61
 
< 0.1%
88
 
< 0.1%
8.251
 
< 0.1%
98
 
< 0.1%
9.54
 
< 0.1%
1071
0.3%
10.1251
 
< 0.1%
10.251
 
< 0.1%
10.512
 
0.1%
10.6251
 
< 0.1%
ValueCountFrequency (%)
421
 
< 0.1%
41.51
 
< 0.1%
402
< 0.1%
38.52
< 0.1%
381
 
< 0.1%
37.51
 
< 0.1%
374
< 0.1%
36.751
 
< 0.1%
36.52
< 0.1%
36.252
< 0.1%

EtCO2-min
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing20336
Missing (%)100.0%
Memory size159.0 KiB

EtCO2-max
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing20336
Missing (%)100.0%
Memory size159.0 KiB

EtCO2-mean
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing20336
Missing (%)100.0%
Memory size159.0 KiB

EtCO2-median
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing20336
Missing (%)100.0%
Memory size159.0 KiB

BaseExcess-min
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct85
Distinct (%)0.7%
Missing7684
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean-2.297344293
Minimum-32
Maximum25
Zeros2278
Zeros (%)11.2%
Negative8125
Negative (%)40.0%
Memory size159.0 KiB
2021-11-29T11:30:08.144008image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-32
5-th percentile-10
Q1-4.5
median-2
Q30
95-th percentile4
Maximum25
Range57
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.570432573
Coefficient of variation (CV)-1.989441716
Kurtosis4.146076782
Mean-2.297344293
Median Absolute Deviation (MAD)2
Skewness-0.6375875951
Sum-29066
Variance20.88885391
MonotonicityNot monotonic
2021-11-29T11:30:08.235273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02278
 
11.2%
-21337
 
6.6%
-31254
 
6.2%
-11240
 
6.1%
-41009
 
5.0%
-5823
 
4.0%
-6614
 
3.0%
1586
 
2.9%
2455
 
2.2%
-7422
 
2.1%
Other values (75)2634
 
13.0%
(Missing)7684
37.8%
ValueCountFrequency (%)
-321
 
< 0.1%
-301
 
< 0.1%
-292
 
< 0.1%
-282
 
< 0.1%
-275
< 0.1%
-26.51
 
< 0.1%
-264
< 0.1%
-25.51
 
< 0.1%
-257
< 0.1%
-249
< 0.1%
ValueCountFrequency (%)
251
 
< 0.1%
231
 
< 0.1%
211
 
< 0.1%
201
 
< 0.1%
192
 
< 0.1%
183
 
< 0.1%
175
< 0.1%
1610
< 0.1%
155
< 0.1%
148
< 0.1%

BaseExcess-max
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct75
Distinct (%)0.6%
Missing7684
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean1.436452735
Minimum-25
Maximum100
Zeros3101
Zeros (%)15.2%
Negative2732
Negative (%)13.4%
Memory size159.0 KiB
2021-11-29T11:30:08.332380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-25
5-th percentile-4
Q10
median1
Q33
95-th percentile8
Maximum100
Range125
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.132239319
Coefficient of variation (CV)2.876697032
Kurtosis31.99474638
Mean1.436452735
Median Absolute Deviation (MAD)2
Skewness1.690405242
Sum18174
Variance17.07540179
MonotonicityNot monotonic
2021-11-29T11:30:08.434690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
03101
15.2%
11478
 
7.3%
21232
 
6.1%
31100
 
5.4%
-1852
 
4.2%
4847
 
4.2%
-2598
 
2.9%
5566
 
2.8%
6436
 
2.1%
-3410
 
2.0%
Other values (65)2032
 
10.0%
(Missing)7684
37.8%
ValueCountFrequency (%)
-251
 
< 0.1%
-242
 
< 0.1%
-212
 
< 0.1%
-201
 
< 0.1%
-196
< 0.1%
-18.51
 
< 0.1%
-181
 
< 0.1%
-174
< 0.1%
-168
< 0.1%
-157
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
49.51
 
< 0.1%
441
 
< 0.1%
361
 
< 0.1%
281
 
< 0.1%
262
 
< 0.1%
252
 
< 0.1%
247
< 0.1%
232
 
< 0.1%
224
< 0.1%

BaseExcess-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct1807
Distinct (%)14.3%
Missing7684
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean-0.3804393698
Minimum-25
Maximum25
Zeros1018
Zeros (%)5.0%
Negative6636
Negative (%)32.6%
Memory size159.0 KiB
2021-11-29T11:30:08.533314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-25
5-th percentile-6.153571429
Q1-2
median-0.2857142857
Q31.2
95-th percentile5.75
Maximum25
Range50
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation3.825150717
Coefficient of variation (CV)-10.05456065
Kurtosis4.943321824
Mean-0.3804393698
Median Absolute Deviation (MAD)1.714285714
Skewness-0.0485160246
Sum-4813.318907
Variance14.63177801
MonotonicityNot monotonic
2021-11-29T11:30:08.627257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01018
 
5.0%
-1486
 
2.4%
1463
 
2.3%
-2369
 
1.8%
2321
 
1.6%
3251
 
1.2%
-3239
 
1.2%
-0.5216
 
1.1%
0.5212
 
1.0%
4175
 
0.9%
Other values (1797)8902
43.8%
(Missing)7684
37.8%
ValueCountFrequency (%)
-251
< 0.1%
-24.51
< 0.1%
-242
< 0.1%
-22.666666671
< 0.1%
-22.251
< 0.1%
-21.751
< 0.1%
-21.61
< 0.1%
-21.071428571
< 0.1%
-20.52
< 0.1%
-20.333333331
< 0.1%
ValueCountFrequency (%)
251
 
< 0.1%
241
 
< 0.1%
212
< 0.1%
20.714285711
 
< 0.1%
201
 
< 0.1%
19.333333331
 
< 0.1%
193
< 0.1%
18.818181821
 
< 0.1%
18.81
 
< 0.1%
183
< 0.1%

BaseExcess-median
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct125
Distinct (%)1.0%
Missing7684
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean-0.3486998103
Minimum-25.5
Maximum25
Zeros2996
Zeros (%)14.7%
Negative5559
Negative (%)27.3%
Memory size159.0 KiB
2021-11-29T11:30:08.722198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-25.5
5-th percentile-6
Q1-2
median0
Q31
95-th percentile6
Maximum25
Range50.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.845161744
Coefficient of variation (CV)-11.02714034
Kurtosis5.010842562
Mean-0.3486998103
Median Absolute Deviation (MAD)2
Skewness-0.08744974129
Sum-4411.75
Variance14.78526884
MonotonicityNot monotonic
2021-11-29T11:30:08.913694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02996
 
14.7%
-11165
 
5.7%
-2913
 
4.5%
1875
 
4.3%
-3715
 
3.5%
2665
 
3.3%
3480
 
2.4%
-4476
 
2.3%
-0.5353
 
1.7%
4344
 
1.7%
Other values (115)3670
18.0%
(Missing)7684
37.8%
ValueCountFrequency (%)
-25.51
 
< 0.1%
-251
 
< 0.1%
-24.51
 
< 0.1%
-242
 
< 0.1%
-231
 
< 0.1%
-22.251
 
< 0.1%
-21.51
 
< 0.1%
-212
 
< 0.1%
-20.51
 
< 0.1%
-205
< 0.1%
ValueCountFrequency (%)
251
 
< 0.1%
241
 
< 0.1%
213
 
< 0.1%
201
 
< 0.1%
195
< 0.1%
189
< 0.1%
17.51
 
< 0.1%
175
< 0.1%
16.51
 
< 0.1%
1611
0.1%

HCO3-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct57
Distinct (%)0.3%
Missing535
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean23.17581183
Minimum0
Maximum53
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:09.012370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q121
median23
Q326
95-th percentile30
Maximum53
Range53
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.273794163
Coefficient of variation (CV)0.1844075277
Kurtosis2.619759907
Mean23.17581183
Median Absolute Deviation (MAD)2
Skewness0.04733510069
Sum458904.25
Variance18.26531654
MonotonicityNot monotonic
2021-11-29T11:30:09.111089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
242384
11.7%
232362
11.6%
222120
10.4%
251993
9.8%
211625
8.0%
261589
7.8%
201250
 
6.1%
271146
 
5.6%
19894
 
4.4%
28711
 
3.5%
Other values (47)3727
18.3%
ValueCountFrequency (%)
02
 
< 0.1%
510
 
< 0.1%
617
 
0.1%
79
 
< 0.1%
831
 
0.2%
931
 
0.2%
1050
0.2%
10.51
 
< 0.1%
1163
0.3%
1283
0.4%
ValueCountFrequency (%)
531
 
< 0.1%
502
 
< 0.1%
472
 
< 0.1%
462
 
< 0.1%
454
 
< 0.1%
444
 
< 0.1%
437
 
< 0.1%
429
< 0.1%
418
< 0.1%
4018
0.1%

HCO3-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct58
Distinct (%)0.3%
Missing535
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean25.60966618
Minimum5
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:09.205580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile20
Q123
median25
Q328
95-th percentile32
Maximum55
Range50
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.008038702
Coefficient of variation (CV)0.1565049179
Kurtosis2.941087155
Mean25.60966618
Median Absolute Deviation (MAD)2
Skewness0.5302548319
Sum507097
Variance16.06437424
MonotonicityNot monotonic
2021-11-29T11:30:09.301497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
252511
12.3%
262350
11.6%
242200
10.8%
272089
10.3%
231840
9.0%
281569
7.7%
221229
 
6.0%
291189
 
5.8%
30780
 
3.8%
21765
 
3.8%
Other values (48)3279
16.1%
ValueCountFrequency (%)
51
 
< 0.1%
61
 
< 0.1%
72
 
< 0.1%
84
 
< 0.1%
95
 
< 0.1%
109
 
< 0.1%
119
 
< 0.1%
1212
0.1%
1323
0.1%
1427
0.1%
ValueCountFrequency (%)
551
 
< 0.1%
521
 
< 0.1%
503
 
< 0.1%
494
 
< 0.1%
482
 
< 0.1%
474
 
< 0.1%
464
 
< 0.1%
459
< 0.1%
4410
< 0.1%
4313
0.1%

HCO3-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct791
Distinct (%)4.0%
Missing535
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean24.40642358
Minimum5
Maximum54.33333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:09.394425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile18
Q122.2
median24.33333333
Q326.5
95-th percentile30.5
Maximum54.33333333
Range49.33333333
Interquartile range (IQR)4.3

Descriptive statistics

Standard deviation3.90020506
Coefficient of variation (CV)0.1598023998
Kurtosis3.089016315
Mean24.40642358
Median Absolute Deviation (MAD)2.166666667
Skewness0.4065426165
Sum483271.5934
Variance15.21159951
MonotonicityNot monotonic
2021-11-29T11:30:09.491800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
251367
 
6.7%
241340
 
6.6%
261163
 
5.7%
231153
 
5.7%
22891
 
4.4%
27873
 
4.3%
28576
 
2.8%
21565
 
2.8%
24.5533
 
2.6%
23.5460
 
2.3%
Other values (781)10880
53.5%
(Missing)535
 
2.6%
ValueCountFrequency (%)
51
 
< 0.1%
61
 
< 0.1%
6.52
 
< 0.1%
71
 
< 0.1%
7.21
 
< 0.1%
7.4285714291
 
< 0.1%
85
< 0.1%
8.3636363641
 
< 0.1%
8.51
 
< 0.1%
95
< 0.1%
ValueCountFrequency (%)
54.333333331
< 0.1%
511
< 0.1%
501
< 0.1%
481
< 0.1%
47.666666672
< 0.1%
46.51
< 0.1%
46.333333331
< 0.1%
462
< 0.1%
45.51
< 0.1%
45.251
< 0.1%

HCO3-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct101
Distinct (%)0.5%
Missing535
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean24.40773193
Minimum5
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:09.584795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile18
Q122
median24
Q326.5
95-th percentile31
Maximum55
Range50
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.936552844
Coefficient of variation (CV)0.1612830252
Kurtosis3.050904352
Mean24.40773193
Median Absolute Deviation (MAD)2
Skewness0.3942297783
Sum483297.5
Variance15.4964483
MonotonicityNot monotonic
2021-11-29T11:30:09.680889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
252056
 
10.1%
241972
 
9.7%
231783
 
8.8%
261670
 
8.2%
221407
 
6.9%
271248
 
6.1%
21921
 
4.5%
28833
 
4.1%
20684
 
3.4%
24.5589
 
2.9%
Other values (91)6638
32.6%
ValueCountFrequency (%)
51
 
< 0.1%
61
 
< 0.1%
6.52
 
< 0.1%
73
 
< 0.1%
87
< 0.1%
8.52
 
< 0.1%
98
< 0.1%
9.52
 
< 0.1%
108
< 0.1%
10.52
 
< 0.1%
ValueCountFrequency (%)
551
 
< 0.1%
511
 
< 0.1%
501
 
< 0.1%
491
 
< 0.1%
481
 
< 0.1%
47.51
 
< 0.1%
471
 
< 0.1%
46.51
 
< 0.1%
463
< 0.1%
45.51
 
< 0.1%

FiO2-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct68
Distinct (%)0.6%
Missing8349
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean0.4424851923
Minimum0
Maximum10
Zeros64
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:09.780482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.4
median0.4
Q30.5
95-th percentile0.7
Maximum10
Range10
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.162033493
Coefficient of variation (CV)0.3661896393
Kurtosis1012.647919
Mean0.4424851923
Median Absolute Deviation (MAD)0.05
Skewness18.14424911
Sum5304.07
Variance0.02625485284
MonotonicityNot monotonic
2021-11-29T11:30:09.878376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.45904
29.0%
0.53221
 
15.8%
0.35904
 
4.4%
0.3368
 
1.8%
1312
 
1.5%
0.6283
 
1.4%
0.7178
 
0.9%
0.45122
 
0.6%
0.2195
 
0.5%
064
 
0.3%
Other values (58)536
 
2.6%
(Missing)8349
41.1%
ValueCountFrequency (%)
064
0.3%
0.0233
0.2%
0.0322
 
0.1%
0.0446
0.2%
0.0511
 
0.1%
0.062
 
< 0.1%
0.083
 
< 0.1%
0.13
 
< 0.1%
0.112
 
< 0.1%
0.122
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
1312
1.5%
0.993
 
< 0.1%
0.986
 
< 0.1%
0.962
 
< 0.1%
0.9539
 
0.2%
0.941
 
< 0.1%
0.931
 
< 0.1%
0.921
 
< 0.1%
0.912
 
< 0.1%

FiO2-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct64
Distinct (%)0.5%
Missing8349
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean0.7496262618
Minimum0
Maximum10
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:09.976789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q10.5
median0.75
Q31
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.2671071528
Coefficient of variation (CV)0.3563204311
Kurtosis143.161105
Mean0.7496262618
Median Absolute Deviation (MAD)0.25
Skewness4.350642728
Sum8985.77
Variance0.07134623107
MonotonicityNot monotonic
2021-11-29T11:30:10.074000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15219
25.7%
0.52676
 
13.2%
0.41065
 
5.2%
0.6820
 
4.0%
0.7758
 
3.7%
0.8386
 
1.9%
0.75315
 
1.5%
0.35165
 
0.8%
0.9594
 
0.5%
0.973
 
0.4%
Other values (54)416
 
2.0%
(Missing)8349
41.1%
ValueCountFrequency (%)
02
 
< 0.1%
0.022
 
< 0.1%
0.033
 
< 0.1%
0.044
 
< 0.1%
0.081
 
< 0.1%
0.111
 
< 0.1%
0.230
0.1%
0.2135
0.2%
0.221
 
< 0.1%
0.245
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
71
 
< 0.1%
15219
25.7%
0.999
 
< 0.1%
0.989
 
< 0.1%
0.975
 
< 0.1%
0.964
 
< 0.1%
0.9594
 
0.5%
0.942
 
< 0.1%
0.931
 
< 0.1%

FiO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1891
Distinct (%)15.8%
Missing8349
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean0.5401693434
Minimum0
Maximum10
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:10.173084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3766666667
Q10.4428571429
median0.5055555556
Q30.6
95-th percentile0.8333333333
Maximum10
Range10
Interquartile range (IQR)0.1571428571

Descriptive statistics

Standard deviation0.1667768776
Coefficient of variation (CV)0.3087492462
Kurtosis863.7380682
Mean0.5401693434
Median Absolute Deviation (MAD)0.07777777778
Skewness15.93688734
Sum6475.009919
Variance0.0278145269
MonotonicityNot monotonic
2021-11-29T11:30:10.273686image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.51114
 
5.5%
0.4688
 
3.4%
0.6338
 
1.7%
1312
 
1.5%
0.45231
 
1.1%
0.55195
 
1.0%
0.625192
 
0.9%
0.6666666667166
 
0.8%
0.4164
 
0.8%
0.7137
 
0.7%
Other values (1881)8450
41.6%
(Missing)8349
41.1%
ValueCountFrequency (%)
02
< 0.1%
0.022
< 0.1%
0.034
< 0.1%
0.043
< 0.1%
0.081
 
< 0.1%
0.111
 
< 0.1%
0.151
 
< 0.1%
0.181
 
< 0.1%
0.1841
 
< 0.1%
0.21
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
1312
1.5%
0.99666666671
 
< 0.1%
0.99473684211
 
< 0.1%
0.99333333331
 
< 0.1%
0.99285714291
 
< 0.1%
0.99166666671
 
< 0.1%
0.994
 
< 0.1%
0.98842105261
 
< 0.1%
0.98751
 
< 0.1%

FiO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct102
Distinct (%)0.9%
Missing8349
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean0.509014766
Minimum0
Maximum10
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:10.376261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.35
Q10.4
median0.5
Q30.5
95-th percentile0.9
Maximum10
Range10
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.1741220653
Coefficient of variation (CV)0.3420766486
Kurtosis737.4129205
Mean0.509014766
Median Absolute Deviation (MAD)0.1
Skewness14.6051189
Sum6101.56
Variance0.03031849361
MonotonicityNot monotonic
2021-11-29T11:30:10.569090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.54390
21.6%
0.43627
17.8%
0.6811
 
4.0%
1506
 
2.5%
0.7483
 
2.4%
0.45419
 
2.1%
0.35313
 
1.5%
0.55260
 
1.3%
0.3165
 
0.8%
0.8135
 
0.7%
Other values (92)878
 
4.3%
(Missing)8349
41.1%
ValueCountFrequency (%)
02
 
< 0.1%
0.022
 
< 0.1%
0.034
 
< 0.1%
0.047
 
< 0.1%
0.052
 
< 0.1%
0.081
 
< 0.1%
0.111
 
< 0.1%
0.151
 
< 0.1%
0.230
0.1%
0.2052
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
1506
2.5%
0.9951
 
< 0.1%
0.995
 
< 0.1%
0.984
 
< 0.1%
0.9753
 
< 0.1%
0.972
 
< 0.1%
0.9652
 
< 0.1%
0.961
 
< 0.1%
0.9551
 
< 0.1%

pH-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct84
Distinct (%)0.6%
Missing7155
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean7.335895607
Minimum6.62
Maximum7.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:10.667627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.62
5-th percentile7.2
Q17.3
median7.34
Q37.39
95-th percentile7.45
Maximum7.73
Range1.11
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.08094798361
Coefficient of variation (CV)0.01103450593
Kurtosis4.900062879
Mean7.335895607
Median Absolute Deviation (MAD)0.05
Skewness-1.212676517
Sum96694.44
Variance0.006552576051
MonotonicityNot monotonic
2021-11-29T11:30:10.762645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.36819
 
4.0%
7.35798
 
3.9%
7.34797
 
3.9%
7.32758
 
3.7%
7.37746
 
3.7%
7.33744
 
3.7%
7.31667
 
3.3%
7.38662
 
3.3%
7.4597
 
2.9%
7.39579
 
2.8%
Other values (74)6014
29.6%
(Missing)7155
35.2%
ValueCountFrequency (%)
6.621
 
< 0.1%
6.631
 
< 0.1%
6.651
 
< 0.1%
6.781
 
< 0.1%
6.791
 
< 0.1%
6.811
 
< 0.1%
6.823
< 0.1%
6.853
< 0.1%
6.865
< 0.1%
6.873
< 0.1%
ValueCountFrequency (%)
7.731
 
< 0.1%
7.661
 
< 0.1%
7.631
 
< 0.1%
7.591
 
< 0.1%
7.571
 
< 0.1%
7.562
 
< 0.1%
7.558
 
< 0.1%
7.546
 
< 0.1%
7.5313
0.1%
7.5222
0.1%

pH-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct80
Distinct (%)0.6%
Missing7155
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean7.426962294
Minimum6.63
Maximum7.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:10.857116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.63
5-th percentile7.33
Q17.39
median7.43
Q37.47
95-th percentile7.52
Maximum7.93
Range1.3
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.06352993288
Coefficient of variation (CV)0.008553959259
Kurtosis7.746723601
Mean7.426962294
Median Absolute Deviation (MAD)0.04
Skewness-0.9298301191
Sum97894.79
Variance0.004036052372
MonotonicityNot monotonic
2021-11-29T11:30:10.959320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.421013
 
5.0%
7.44986
 
4.8%
7.43957
 
4.7%
7.45912
 
4.5%
7.4869
 
4.3%
7.41869
 
4.3%
7.46801
 
3.9%
7.39736
 
3.6%
7.47671
 
3.3%
7.48645
 
3.2%
Other values (70)4722
23.2%
(Missing)7155
35.2%
ValueCountFrequency (%)
6.631
 
< 0.1%
6.651
 
< 0.1%
6.871
 
< 0.1%
6.941
 
< 0.1%
6.983
< 0.1%
72
< 0.1%
7.011
 
< 0.1%
7.021
 
< 0.1%
7.032
< 0.1%
7.051
 
< 0.1%
ValueCountFrequency (%)
7.931
 
< 0.1%
7.81
 
< 0.1%
7.781
 
< 0.1%
7.731
 
< 0.1%
7.721
 
< 0.1%
7.711
 
< 0.1%
7.692
< 0.1%
7.681
 
< 0.1%
7.671
 
< 0.1%
7.663
< 0.1%

pH-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2188
Distinct (%)16.6%
Missing7155
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean7.383642509
Minimum6.63
Maximum7.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:11.062405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.63
5-th percentile7.29
Q17.355
median7.386666667
Q37.42
95-th percentile7.47
Maximum7.73
Range1.1
Interquartile range (IQR)0.065

Descriptive statistics

Standard deviation0.05900372908
Coefficient of variation (CV)0.007991141095
Kurtosis9.115096707
Mean7.383642509
Median Absolute Deviation (MAD)0.03238095238
Skewness-1.361189307
Sum97323.79191
Variance0.003481440046
MonotonicityNot monotonic
2021-11-29T11:30:11.157541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4329
 
1.6%
7.37328
 
1.6%
7.38324
 
1.6%
7.42259
 
1.3%
7.43244
 
1.2%
7.41230
 
1.1%
7.39188
 
0.9%
7.44184
 
0.9%
7.35177
 
0.9%
7.36170
 
0.8%
Other values (2178)10748
52.9%
(Missing)7155
35.2%
ValueCountFrequency (%)
6.631
< 0.1%
6.651
< 0.1%
6.871
< 0.1%
6.91
< 0.1%
6.941
< 0.1%
6.941
< 0.1%
6.951
< 0.1%
6.961
< 0.1%
6.9621
< 0.1%
6.9751
< 0.1%
ValueCountFrequency (%)
7.731
< 0.1%
7.6951
< 0.1%
7.661
< 0.1%
7.631
< 0.1%
7.591
< 0.1%
7.5851
< 0.1%
7.5751
< 0.1%
7.5733333331
< 0.1%
7.5666666671
< 0.1%
7.5651
< 0.1%

pH-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct153
Distinct (%)1.2%
Missing7155
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean7.384674911
Minimum6.63
Maximum7.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:11.257678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.63
5-th percentile7.29
Q17.355
median7.39
Q37.42
95-th percentile7.47
Maximum7.73
Range1.1
Interquartile range (IQR)0.065

Descriptive statistics

Standard deviation0.05959166947
Coefficient of variation (CV)0.008069640193
Kurtosis8.812019318
Mean7.384674911
Median Absolute Deviation (MAD)0.03
Skewness-1.340091006
Sum97337.4
Variance0.003551167071
MonotonicityNot monotonic
2021-11-29T11:30:11.353426image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4906
 
4.5%
7.38834
 
4.1%
7.37799
 
3.9%
7.39730
 
3.6%
7.41717
 
3.5%
7.42681
 
3.3%
7.35605
 
3.0%
7.36600
 
3.0%
7.43551
 
2.7%
7.34465
 
2.3%
Other values (143)6293
30.9%
(Missing)7155
35.2%
ValueCountFrequency (%)
6.631
< 0.1%
6.651
< 0.1%
6.871
< 0.1%
6.91
< 0.1%
6.921
< 0.1%
6.941
< 0.1%
6.941
< 0.1%
6.962
< 0.1%
6.971
< 0.1%
6.9751
< 0.1%
ValueCountFrequency (%)
7.731
< 0.1%
7.6951
< 0.1%
7.661
< 0.1%
7.631
< 0.1%
7.592
< 0.1%
7.5851
< 0.1%
7.581
< 0.1%
7.5751
< 0.1%
7.5651
< 0.1%
7.561
< 0.1%

PaCO2-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct117
Distinct (%)0.9%
Missing7759
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean36.58972728
Minimum10
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:11.453596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26
Q132
median36
Q340
95-th percentile49
Maximum95
Range85
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.834064984
Coefficient of variation (CV)0.2141055855
Kurtosis5.448878524
Mean36.58972728
Median Absolute Deviation (MAD)4
Skewness1.335619828
Sum460189
Variance61.37257417
MonotonicityNot monotonic
2021-11-29T11:30:11.546104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36817
 
4.0%
35785
 
3.9%
34781
 
3.8%
37759
 
3.7%
38750
 
3.7%
33711
 
3.5%
32703
 
3.5%
39605
 
3.0%
31592
 
2.9%
40589
 
2.9%
Other values (107)5485
27.0%
(Missing)7759
38.2%
ValueCountFrequency (%)
101
 
< 0.1%
113
 
< 0.1%
122
 
< 0.1%
132
 
< 0.1%
144
 
< 0.1%
156
 
< 0.1%
1610
< 0.1%
16.51
 
< 0.1%
1714
0.1%
1815
0.1%
ValueCountFrequency (%)
951
 
< 0.1%
942
< 0.1%
931
 
< 0.1%
89.51
 
< 0.1%
891
 
< 0.1%
881
 
< 0.1%
872
< 0.1%
863
< 0.1%
852
< 0.1%
842
< 0.1%

PaCO2-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct131
Distinct (%)1.0%
Missing7759
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean46.35227002
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:11.645587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile33
Q140
median45
Q350
95-th percentile64
Maximum100
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.12168536
Coefficient of variation (CV)0.2183643941
Kurtosis4.864624124
Mean46.35227002
Median Absolute Deviation (MAD)5
Skewness1.558116938
Sum582972.5
Variance102.4485144
MonotonicityNot monotonic
2021-11-29T11:30:11.740609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46715
 
3.5%
44686
 
3.4%
42676
 
3.3%
43659
 
3.2%
47620
 
3.0%
45616
 
3.0%
40601
 
3.0%
41567
 
2.8%
48549
 
2.7%
49511
 
2.5%
Other values (121)6377
31.4%
(Missing)7759
38.2%
ValueCountFrequency (%)
101
 
< 0.1%
162
 
< 0.1%
191
 
< 0.1%
208
 
< 0.1%
215
 
< 0.1%
228
 
< 0.1%
2314
0.1%
247
 
< 0.1%
2519
0.1%
2628
0.1%
ValueCountFrequency (%)
10010
< 0.1%
996
< 0.1%
984
 
< 0.1%
97.51
 
< 0.1%
9710
< 0.1%
964
 
< 0.1%
95.51
 
< 0.1%
954
 
< 0.1%
94.51
 
< 0.1%
9412
0.1%

PaCO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2061
Distinct (%)16.4%
Missing7759
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean41.14150912
Minimum10
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:11.840385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile31
Q136.875
median40.26923077
Q344.1875
95-th percentile53.40571429
Maximum98
Range88
Interquartile range (IQR)7.3125

Descriptive statistics

Standard deviation7.683341373
Coefficient of variation (CV)0.1867539995
Kurtosis7.048028623
Mean41.14150912
Median Absolute Deviation (MAD)3.730769231
Skewness1.704228689
Sum517436.7602
Variance59.03373465
MonotonicityNot monotonic
2021-11-29T11:30:11.936553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40303
 
1.5%
38283
 
1.4%
41280
 
1.4%
39278
 
1.4%
43262
 
1.3%
42260
 
1.3%
37253
 
1.2%
44238
 
1.2%
36202
 
1.0%
45195
 
1.0%
Other values (2051)10023
49.3%
(Missing)7759
38.2%
ValueCountFrequency (%)
101
< 0.1%
15.51
< 0.1%
162
< 0.1%
171
< 0.1%
18.751
< 0.1%
18.833333331
< 0.1%
191
< 0.1%
19.142857141
< 0.1%
19.21
< 0.1%
19.251
< 0.1%
ValueCountFrequency (%)
981
< 0.1%
96.751
< 0.1%
95.333333331
< 0.1%
941
< 0.1%
93.51
< 0.1%
932
< 0.1%
91.666666671
< 0.1%
91.251
< 0.1%
901
< 0.1%
89.51
< 0.1%

PaCO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct188
Distinct (%)1.5%
Missing7759
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean40.97686253
Minimum10
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:12.038416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile31
Q137
median40
Q344
95-th percentile53
Maximum99
Range89
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.724370697
Coefficient of variation (CV)0.1885056644
Kurtosis7.101296055
Mean40.97686253
Median Absolute Deviation (MAD)4
Skewness1.691919114
Sum515366
Variance59.66590267
MonotonicityNot monotonic
2021-11-29T11:30:12.230264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40733
 
3.6%
39680
 
3.3%
41669
 
3.3%
38665
 
3.3%
42627
 
3.1%
37594
 
2.9%
43564
 
2.8%
36535
 
2.6%
44502
 
2.5%
35411
 
2.0%
Other values (178)6597
32.4%
(Missing)7759
38.2%
ValueCountFrequency (%)
101
 
< 0.1%
15.51
 
< 0.1%
163
 
< 0.1%
182
 
< 0.1%
18.51
 
< 0.1%
194
< 0.1%
19.51
 
< 0.1%
206
< 0.1%
20.54
< 0.1%
219
< 0.1%
ValueCountFrequency (%)
991
 
< 0.1%
981
 
< 0.1%
96.51
 
< 0.1%
941
 
< 0.1%
93.51
 
< 0.1%
932
 
< 0.1%
921
 
< 0.1%
911
 
< 0.1%
89.51
 
< 0.1%
895
< 0.1%

SaO2-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct116
Distinct (%)1.5%
Missing12373
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean84.27638453
Minimum24
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:12.329588image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile54
Q171
median94
Q397
95-th percentile98
Maximum100
Range76
Interquartile range (IQR)26

Descriptive statistics

Standard deviation16.0983399
Coefficient of variation (CV)0.1910183973
Kurtosis-0.4464067556
Mean84.27638453
Median Absolute Deviation (MAD)4
Skewness-0.9075627908
Sum671092.85
Variance259.1565476
MonotonicityNot monotonic
2021-11-29T11:30:12.424824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
981307
 
6.4%
971045
 
5.1%
96689
 
3.4%
95404
 
2.0%
94319
 
1.6%
99309
 
1.5%
93195
 
1.0%
92140
 
0.7%
63128
 
0.6%
67120
 
0.6%
Other values (106)3307
 
16.3%
(Missing)12373
60.8%
ValueCountFrequency (%)
241
 
< 0.1%
261
 
< 0.1%
272
< 0.1%
281
 
< 0.1%
293
< 0.1%
304
< 0.1%
311
 
< 0.1%
322
< 0.1%
331
 
< 0.1%
33.51
 
< 0.1%
ValueCountFrequency (%)
10018
 
0.1%
99309
 
1.5%
98.52
 
< 0.1%
981307
6.4%
97.59
 
< 0.1%
971045
5.1%
96.58
 
< 0.1%
96689
3.4%
95.56
 
< 0.1%
95.41
 
< 0.1%

SaO2-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct81
Distinct (%)1.0%
Missing12373
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean95.64866256
Minimum30
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:12.524897image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile77
Q197
median98
Q399
95-th percentile99
Maximum100
Range70
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.480275942
Coefficient of variation (CV)0.07820575574
Kurtosis13.82734097
Mean95.64866256
Median Absolute Deviation (MAD)1
Skewness-3.586364209
Sum761650.3
Variance55.95452817
MonotonicityNot monotonic
2021-11-29T11:30:12.621387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
983130
 
15.4%
991929
 
9.5%
971074
 
5.3%
96430
 
2.1%
95195
 
1.0%
100159
 
0.8%
94109
 
0.5%
9367
 
0.3%
9248
 
0.2%
7137
 
0.2%
Other values (71)785
 
3.9%
(Missing)12373
60.8%
ValueCountFrequency (%)
302
 
< 0.1%
341
 
< 0.1%
402
 
< 0.1%
421
 
< 0.1%
431
 
< 0.1%
441
 
< 0.1%
461
 
< 0.1%
495
< 0.1%
502
 
< 0.1%
511
 
< 0.1%
ValueCountFrequency (%)
100159
 
0.8%
99.52
 
< 0.1%
99.31
 
< 0.1%
991929
9.5%
98.530
 
0.1%
983130
15.4%
97.519
 
0.1%
971074
 
5.3%
96.54
 
< 0.1%
96430
 
2.1%

SaO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1382
Distinct (%)17.4%
Missing12373
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean91.7306866
Minimum29.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:12.724238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum29.5
5-th percentile71
Q189.29705882
median96
Q397.7
95-th percentile98.66666667
Maximum100
Range70.5
Interquartile range (IQR)8.402941176

Descriptive statistics

Standard deviation9.105877385
Coefficient of variation (CV)0.09926751584
Kurtosis4.497235356
Mean91.7306866
Median Absolute Deviation (MAD)2
Skewness-2.023994356
Sum730451.4574
Variance82.91700296
MonotonicityNot monotonic
2021-11-29T11:30:12.818072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
981025
 
5.0%
97576
 
2.8%
99315
 
1.5%
96309
 
1.5%
97.5226
 
1.1%
98.5170
 
0.8%
95160
 
0.8%
96.5113
 
0.6%
94110
 
0.5%
97.6666666798
 
0.5%
Other values (1372)4861
 
23.9%
(Missing)12373
60.8%
ValueCountFrequency (%)
29.51
< 0.1%
301
< 0.1%
31.51
< 0.1%
32.251
< 0.1%
401
< 0.1%
41.251
< 0.1%
41.333333331
< 0.1%
41.51
< 0.1%
421
< 0.1%
431
< 0.1%
ValueCountFrequency (%)
10018
 
0.1%
99.52
 
< 0.1%
99.333333331
 
< 0.1%
99.22
 
< 0.1%
99315
1.5%
98.833333333
 
< 0.1%
98.821428571
 
< 0.1%
98.81
 
< 0.1%
98.791666671
 
< 0.1%
98.7513
 
0.1%

SaO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct158
Distinct (%)2.0%
Missing12373
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean92.95674997
Minimum29.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:12.918190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum29.5
5-th percentile69
Q194.5
median97
Q398
95-th percentile99
Maximum100
Range70.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation9.561328494
Coefficient of variation (CV)0.1028578183
Kurtosis5.396745734
Mean92.95674997
Median Absolute Deviation (MAD)1
Skewness-2.381941831
Sum740214.6
Variance91.41900257
MonotonicityNot monotonic
2021-11-29T11:30:13.013320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
982084
 
10.2%
971364
 
6.7%
96701
 
3.4%
99459
 
2.3%
97.5344
 
1.7%
95339
 
1.7%
96.5229
 
1.1%
94205
 
1.0%
98.5198
 
1.0%
95.5109
 
0.5%
Other values (148)1931
 
9.5%
(Missing)12373
60.8%
ValueCountFrequency (%)
29.51
< 0.1%
301
< 0.1%
311
< 0.1%
31.51
< 0.1%
401
< 0.1%
40.51
< 0.1%
41.51
< 0.1%
422
< 0.1%
431
< 0.1%
442
< 0.1%
ValueCountFrequency (%)
10021
 
0.1%
99.53
 
< 0.1%
99459
 
2.3%
98.91
 
< 0.1%
98.753
 
< 0.1%
98.5198
 
1.0%
98.2510
 
< 0.1%
982084
10.2%
97.8752
 
< 0.1%
97.755
 
< 0.1%

AST-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct653
Distinct (%)11.1%
Missing14443
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean134.0123027
Minimum3
Maximum9210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:13.114677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile13
Q122
median39
Q386
95-th percentile458.8
Maximum9210
Range9207
Interquartile range (IQR)64

Descriptive statistics

Standard deviation434.3887697
Coefficient of variation (CV)3.241409638
Kurtosis136.1199603
Mean134.0123027
Median Absolute Deviation (MAD)21
Skewness10.11325823
Sum789734.5
Variance188693.6033
MonotonicityNot monotonic
2021-11-29T11:30:13.209633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17162
 
0.8%
18151
 
0.7%
19142
 
0.7%
24139
 
0.7%
16133
 
0.7%
23127
 
0.6%
15126
 
0.6%
21123
 
0.6%
20122
 
0.6%
22122
 
0.6%
Other values (643)4546
 
22.4%
(Missing)14443
71.0%
ValueCountFrequency (%)
32
 
< 0.1%
41
 
< 0.1%
52
 
< 0.1%
5.51
 
< 0.1%
66
 
< 0.1%
76
 
< 0.1%
818
 
0.1%
920
 
0.1%
1042
0.2%
1155
0.3%
ValueCountFrequency (%)
92101
< 0.1%
85911
< 0.1%
71741
< 0.1%
68841
< 0.1%
67131
< 0.1%
60001
< 0.1%
58971
< 0.1%
54351
< 0.1%
53591
< 0.1%
53311
< 0.1%

AST-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct853
Distinct (%)14.5%
Missing14443
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean246.5676226
Minimum3
Maximum9890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:13.308611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q124
median45
Q3107
95-th percentile870.8
Maximum9890
Range9887
Interquartile range (IQR)83

Descriptive statistics

Standard deviation895.2502488
Coefficient of variation (CV)3.630850796
Kurtosis59.17982982
Mean246.5676226
Median Absolute Deviation (MAD)26
Skewness7.255823541
Sum1453023
Variance801473.0079
MonotonicityNot monotonic
2021-11-29T11:30:13.407284image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19137
 
0.7%
18127
 
0.6%
16125
 
0.6%
17122
 
0.6%
21120
 
0.6%
20119
 
0.6%
24119
 
0.6%
22117
 
0.6%
23105
 
0.5%
15105
 
0.5%
Other values (843)4697
 
23.1%
(Missing)14443
71.0%
ValueCountFrequency (%)
32
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
65
 
< 0.1%
75
 
< 0.1%
810
 
< 0.1%
915
 
0.1%
1036
0.2%
1147
0.2%
1257
0.3%
ValueCountFrequency (%)
98901
< 0.1%
98401
< 0.1%
97301
< 0.1%
96401
< 0.1%
95071
< 0.1%
94951
< 0.1%
94901
< 0.1%
94561
< 0.1%
94301
< 0.1%
92481
< 0.1%

AST-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1304
Distinct (%)22.1%
Missing14443
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean185.7381345
Minimum3
Maximum9210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:13.506142image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q123.33333333
median43
Q398
95-th percentile688.6
Maximum9210
Range9207
Interquartile range (IQR)74.66666667

Descriptive statistics

Standard deviation618.0870944
Coefficient of variation (CV)3.327733941
Kurtosis71.7154808
Mean185.7381345
Median Absolute Deviation (MAD)24
Skewness7.728193141
Sum1094554.827
Variance382031.6562
MonotonicityNot monotonic
2021-11-29T11:30:13.600939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19126
 
0.6%
18125
 
0.6%
24119
 
0.6%
17119
 
0.6%
16116
 
0.6%
22113
 
0.6%
20106
 
0.5%
15104
 
0.5%
21103
 
0.5%
2395
 
0.5%
Other values (1294)4767
 
23.4%
(Missing)14443
71.0%
ValueCountFrequency (%)
32
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
65
 
< 0.1%
75
 
< 0.1%
810
< 0.1%
8.251
 
< 0.1%
8.41
 
< 0.1%
8.53
 
< 0.1%
914
0.1%
ValueCountFrequency (%)
92101
< 0.1%
85911
< 0.1%
7868.81
< 0.1%
7697.3333331
< 0.1%
7438.51
< 0.1%
73931
< 0.1%
7279.41
< 0.1%
71741
< 0.1%
6982.51
< 0.1%
6910.51
< 0.1%

AST-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct949
Distinct (%)16.1%
Missing14443
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean182.4755218
Minimum3
Maximum9210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:13.697685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q123
median42
Q398
95-th percentile659.6
Maximum9210
Range9207
Interquartile range (IQR)75

Descriptive statistics

Standard deviation618.8133575
Coefficient of variation (CV)3.391212977
Kurtosis76.78142027
Mean182.4755218
Median Absolute Deviation (MAD)23
Skewness8.007395477
Sum1075328.25
Variance382929.9714
MonotonicityNot monotonic
2021-11-29T11:30:13.888218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24131
 
0.6%
18131
 
0.6%
19123
 
0.6%
17122
 
0.6%
16118
 
0.6%
22116
 
0.6%
20111
 
0.5%
21108
 
0.5%
15106
 
0.5%
23101
 
0.5%
Other values (939)4726
 
23.2%
(Missing)14443
71.0%
ValueCountFrequency (%)
32
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
65
 
< 0.1%
75
 
< 0.1%
811
0.1%
8.251
 
< 0.1%
8.53
 
< 0.1%
916
0.1%
9.51
 
< 0.1%
ValueCountFrequency (%)
92101
< 0.1%
85911
< 0.1%
84721
< 0.1%
77511
< 0.1%
76991
< 0.1%
76341
< 0.1%
75051
< 0.1%
7438.51
< 0.1%
71741
< 0.1%
69491
< 0.1%

BUN-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct154
Distinct (%)0.8%
Missing427
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean20.25654227
Minimum1
Maximum184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:13.984872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median15
Q323
95-th percentile54
Maximum184
Range183
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.83914067
Coefficient of variation (CV)0.8312939322
Kurtosis10.91226427
Mean20.25654227
Median Absolute Deviation (MAD)6
Skewness2.789987005
Sum403287.5
Variance283.5566586
MonotonicityNot monotonic
2021-11-29T11:30:14.083363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111143
 
5.6%
121115
 
5.5%
131106
 
5.4%
141080
 
5.3%
101076
 
5.3%
9992
 
4.9%
15965
 
4.7%
8829
 
4.1%
16821
 
4.0%
17794
 
3.9%
Other values (144)9988
49.1%
ValueCountFrequency (%)
110
 
< 0.1%
248
 
0.2%
2.51
 
< 0.1%
3142
 
0.7%
4213
 
1.0%
5385
 
1.9%
6541
2.7%
7734
3.6%
8829
4.1%
9992
4.9%
ValueCountFrequency (%)
1841
< 0.1%
1701
< 0.1%
1691
< 0.1%
1651
< 0.1%
1621
< 0.1%
1601
< 0.1%
1591
< 0.1%
1551
< 0.1%
1491
< 0.1%
1481
< 0.1%

BUN-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct169
Distinct (%)0.8%
Missing427
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean25.02549098
Minimum2
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:14.186772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q113
median19
Q329
95-th percentile66
Maximum266
Range264
Interquartile range (IQR)16

Descriptive statistics

Standard deviation20.14009704
Coefficient of variation (CV)0.8047832929
Kurtosis10.20048738
Mean25.02549098
Median Absolute Deviation (MAD)7
Skewness2.648994795
Sum498232.5
Variance405.6235088
MonotonicityNot monotonic
2021-11-29T11:30:14.284483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14991
 
4.9%
15976
 
4.8%
13953
 
4.7%
16924
 
4.5%
12902
 
4.4%
17881
 
4.3%
11826
 
4.1%
10776
 
3.8%
18758
 
3.7%
19727
 
3.6%
Other values (159)11195
55.1%
ValueCountFrequency (%)
28
 
< 0.1%
337
 
0.2%
481
 
0.4%
5132
 
0.6%
6242
 
1.2%
7358
1.8%
8483
2.4%
9616
3.0%
10776
3.8%
11826
4.1%
ValueCountFrequency (%)
2661
 
< 0.1%
2351
 
< 0.1%
2051
 
< 0.1%
2011
 
< 0.1%
1951
 
< 0.1%
1843
< 0.1%
1741
 
< 0.1%
1711
 
< 0.1%
1702
< 0.1%
1691
 
< 0.1%

BUN-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1554
Distinct (%)7.8%
Missing427
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean22.57039553
Minimum1.285714286
Maximum227.3333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:14.382382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.285714286
5-th percentile7
Q112
median17
Q326
95-th percentile59.27142857
Maximum227.3333333
Range226.047619
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.18592295
Coefficient of variation (CV)0.8057423239
Kurtosis10.13880362
Mean22.57039553
Median Absolute Deviation (MAD)6
Skewness2.679689373
Sum449354.0046
Variance330.7277934
MonotonicityNot monotonic
2021-11-29T11:30:14.473523image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11578
 
2.8%
14571
 
2.8%
13566
 
2.8%
12541
 
2.7%
15508
 
2.5%
10486
 
2.4%
16475
 
2.3%
17442
 
2.2%
9435
 
2.1%
18389
 
1.9%
Other values (1544)14918
73.4%
(Missing)427
 
2.1%
ValueCountFrequency (%)
1.2857142861
 
< 0.1%
1.51
 
< 0.1%
1.6666666671
 
< 0.1%
1.8571428571
 
< 0.1%
28
 
< 0.1%
2.3333333332
 
< 0.1%
2.55
 
< 0.1%
2.6666666673
 
< 0.1%
2.82
 
< 0.1%
334
0.2%
ValueCountFrequency (%)
227.33333331
< 0.1%
187.51
< 0.1%
178.51
< 0.1%
1771
< 0.1%
170.51
< 0.1%
169.51
< 0.1%
1681
< 0.1%
166.751
< 0.1%
163.33333331
< 0.1%
159.33333331
< 0.1%

BUN-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct284
Distinct (%)1.4%
Missing427
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean22.49028078
Minimum1
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:14.571128image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median17
Q326
95-th percentile59.5
Maximum232
Range231
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.27856067
Coefficient of variation (CV)0.812731546
Kurtosis10.28869399
Mean22.49028078
Median Absolute Deviation (MAD)6
Skewness2.698542597
Sum447759
Variance334.1057801
MonotonicityNot monotonic
2021-11-29T11:30:14.664551image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13838
 
4.1%
14832
 
4.1%
11830
 
4.1%
12806
 
4.0%
15786
 
3.9%
16740
 
3.6%
10719
 
3.5%
17647
 
3.2%
9609
 
3.0%
18597
 
2.9%
Other values (274)12505
61.5%
ValueCountFrequency (%)
11
 
< 0.1%
1.51
 
< 0.1%
214
 
0.1%
2.55
 
< 0.1%
349
 
0.2%
3.520
 
0.1%
489
0.4%
4.535
 
0.2%
5190
0.9%
5.567
 
0.3%
ValueCountFrequency (%)
2321
< 0.1%
187.51
< 0.1%
1771
< 0.1%
175.51
< 0.1%
1721
< 0.1%
169.51
< 0.1%
1691
< 0.1%
166.51
< 0.1%
1661
< 0.1%
1641
< 0.1%

Alkalinephos-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct455
Distinct (%)8.0%
Missing14633
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean104.7543398
Minimum7
Maximum3619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:14.759402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile36
Q155
median75
Q3110
95-th percentile258.9
Maximum3619
Range3612
Interquartile range (IQR)55

Descriptive statistics

Standard deviation123.7548782
Coefficient of variation (CV)1.181381873
Kurtosis184.422028
Mean104.7543398
Median Absolute Deviation (MAD)24
Skewness9.984337255
Sum597414
Variance15315.26988
MonotonicityNot monotonic
2021-11-29T11:30:14.856850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5881
 
0.4%
4979
 
0.4%
5578
 
0.4%
5277
 
0.4%
5976
 
0.4%
7276
 
0.4%
6076
 
0.4%
5075
 
0.4%
5675
 
0.4%
6875
 
0.4%
Other values (445)4935
 
24.3%
(Missing)14633
72.0%
ValueCountFrequency (%)
71
 
< 0.1%
111
 
< 0.1%
121
 
< 0.1%
131
 
< 0.1%
142
< 0.1%
152
< 0.1%
161
 
< 0.1%
172
< 0.1%
184
< 0.1%
192
< 0.1%
ValueCountFrequency (%)
36191
< 0.1%
25281
< 0.1%
21011
< 0.1%
19191
< 0.1%
17761
< 0.1%
16691
< 0.1%
14371
< 0.1%
14361
< 0.1%
11651
< 0.1%
11551
< 0.1%

Alkalinephos-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct491
Distinct (%)8.6%
Missing14633
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean114.4879888
Minimum7
Maximum3833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:14.962287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile38
Q158
median79
Q3119
95-th percentile297
Maximum3833
Range3826
Interquartile range (IQR)61

Descriptive statistics

Standard deviation140.5028521
Coefficient of variation (CV)1.227227883
Kurtosis150.3540625
Mean114.4879888
Median Absolute Deviation (MAD)26
Skewness9.156134551
Sum652925
Variance19741.05146
MonotonicityNot monotonic
2021-11-29T11:30:15.062318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5592
 
0.5%
6080
 
0.4%
5980
 
0.4%
6779
 
0.4%
4977
 
0.4%
7375
 
0.4%
7275
 
0.4%
5874
 
0.4%
6974
 
0.4%
6172
 
0.4%
Other values (481)4925
 
24.2%
(Missing)14633
72.0%
ValueCountFrequency (%)
71
 
< 0.1%
121
 
< 0.1%
151
 
< 0.1%
171
 
< 0.1%
181
 
< 0.1%
191
 
< 0.1%
202
< 0.1%
211
 
< 0.1%
223
< 0.1%
234
< 0.1%
ValueCountFrequency (%)
38331
< 0.1%
25281
< 0.1%
24401
< 0.1%
21901
< 0.1%
21211
< 0.1%
17991
< 0.1%
16691
< 0.1%
15461
< 0.1%
15011
< 0.1%
14371
< 0.1%

Alkalinephos-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1107
Distinct (%)19.4%
Missing14633
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean109.4410878
Minimum7
Maximum3726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:15.167696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile37
Q157
median77
Q3114
95-th percentile278
Maximum3726
Range3719
Interquartile range (IQR)57

Descriptive statistics

Standard deviation131.1173409
Coefficient of variation (CV)1.19806321
Kurtosis169.7134387
Mean109.4410878
Median Absolute Deviation (MAD)25
Skewness9.646002046
Sum624142.5237
Variance17191.75709
MonotonicityNot monotonic
2021-11-29T11:30:15.263958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5569
 
0.3%
6367
 
0.3%
6767
 
0.3%
5967
 
0.3%
6065
 
0.3%
4964
 
0.3%
6462
 
0.3%
6162
 
0.3%
5361
 
0.3%
6660
 
0.3%
Other values (1097)5059
 
24.9%
(Missing)14633
72.0%
ValueCountFrequency (%)
71
< 0.1%
121
< 0.1%
151
< 0.1%
171
< 0.1%
181
< 0.1%
191
< 0.1%
19.52
< 0.1%
202
< 0.1%
222
< 0.1%
22.333333331
< 0.1%
ValueCountFrequency (%)
37261
< 0.1%
25281
< 0.1%
2182.6666671
< 0.1%
2145.51
< 0.1%
20201
< 0.1%
16691
< 0.1%
15291
< 0.1%
1477.6666671
< 0.1%
14371
< 0.1%
12881
< 0.1%

Alkalinephos-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct679
Distinct (%)11.9%
Missing14633
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean109.3258811
Minimum7
Maximum3726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:15.366880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile37
Q156.5
median77
Q3114
95-th percentile277.9
Maximum3726
Range3719
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation131.6314989
Coefficient of variation (CV)1.204028703
Kurtosis170.2751897
Mean109.3258811
Median Absolute Deviation (MAD)25
Skewness9.686414502
Sum623485.5
Variance17326.8515
MonotonicityNot monotonic
2021-11-29T11:30:15.560694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5978
 
0.4%
6774
 
0.4%
5574
 
0.4%
6371
 
0.3%
6070
 
0.3%
4969
 
0.3%
6168
 
0.3%
5368
 
0.3%
5266
 
0.3%
6965
 
0.3%
Other values (669)5000
 
24.6%
(Missing)14633
72.0%
ValueCountFrequency (%)
71
 
< 0.1%
121
 
< 0.1%
151
 
< 0.1%
171
 
< 0.1%
181
 
< 0.1%
191
 
< 0.1%
19.52
< 0.1%
202
< 0.1%
223
< 0.1%
22.51
 
< 0.1%
ValueCountFrequency (%)
37261
< 0.1%
25281
< 0.1%
23321
< 0.1%
2145.51
< 0.1%
20201
< 0.1%
16691
< 0.1%
15001
< 0.1%
14511
< 0.1%
14371
< 0.1%
12791
< 0.1%

Calcium-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct92
Distinct (%)0.6%
Missing3789
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean8.144180214
Minimum1.6
Maximum15.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:15.662095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile6.9
Q17.7
median8.2
Q38.6
95-th percentile9.3
Maximum15.7
Range14.1
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation0.7700559677
Coefficient of variation (CV)0.09455291354
Kurtosis3.578194828
Mean8.144180214
Median Absolute Deviation (MAD)0.5
Skewness-0.1429625023
Sum134761.75
Variance0.5929861933
MonotonicityNot monotonic
2021-11-29T11:30:15.756808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.31005
 
4.9%
8.2971
 
4.8%
8.1968
 
4.8%
8.4952
 
4.7%
8.5908
 
4.5%
8885
 
4.4%
7.9854
 
4.2%
8.6852
 
4.2%
7.8779
 
3.8%
7.7763
 
3.8%
Other values (82)7610
37.4%
(Missing)3789
18.6%
ValueCountFrequency (%)
1.61
< 0.1%
2.82
< 0.1%
3.51
< 0.1%
3.61
< 0.1%
3.71
< 0.1%
3.91
< 0.1%
4.21
< 0.1%
4.32
< 0.1%
4.52
< 0.1%
4.61
< 0.1%
ValueCountFrequency (%)
15.71
< 0.1%
15.41
< 0.1%
13.61
< 0.1%
13.11
< 0.1%
12.91
< 0.1%
12.71
< 0.1%
12.42
< 0.1%
12.21
< 0.1%
11.71
< 0.1%
11.61
< 0.1%

Calcium-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct109
Distinct (%)0.7%
Missing3789
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean8.549410769
Minimum3.9
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:15.858928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile7.5
Q18.1
median8.5
Q38.9
95-th percentile9.7
Maximum22
Range18.1
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.7765680555
Coefficient of variation (CV)0.09083293299
Kurtosis22.34361276
Mean8.549410769
Median Absolute Deviation (MAD)0.4
Skewness2.087220841
Sum141467.1
Variance0.6030579448
MonotonicityNot monotonic
2021-11-29T11:30:15.958152image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.51107
 
5.4%
8.61054
 
5.2%
8.41032
 
5.1%
8.31018
 
5.0%
8.2975
 
4.8%
8.7961
 
4.7%
8.8922
 
4.5%
8.1859
 
4.2%
8.9799
 
3.9%
9747
 
3.7%
Other values (99)7073
34.8%
(Missing)3789
18.6%
ValueCountFrequency (%)
3.91
 
< 0.1%
4.51
 
< 0.1%
4.72
< 0.1%
5.33
< 0.1%
5.41
 
< 0.1%
5.51
 
< 0.1%
5.62
< 0.1%
5.71
 
< 0.1%
5.82
< 0.1%
5.91
 
< 0.1%
ValueCountFrequency (%)
221
< 0.1%
21.51
< 0.1%
19.61
< 0.1%
19.21
< 0.1%
171
< 0.1%
16.21
< 0.1%
15.71
< 0.1%
15.61
< 0.1%
15.42
< 0.1%
15.31
< 0.1%

Calcium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct905
Distinct (%)5.5%
Missing3789
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean8.347046095
Minimum3.9
Maximum16.76666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:16.063517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile7.3
Q17.9
median8.325
Q38.75
95-th percentile9.433333333
Maximum16.76666667
Range12.86666667
Interquartile range (IQR)0.85

Descriptive statistics

Standard deviation0.6981063075
Coefficient of variation (CV)0.08363513267
Kurtosis6.594771934
Mean8.347046095
Median Absolute Deviation (MAD)0.425
Skewness0.7262989842
Sum138118.5717
Variance0.4873524166
MonotonicityNot monotonic
2021-11-29T11:30:16.163776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.5656
 
3.2%
8.3603
 
3.0%
8.6597
 
2.9%
8.4595
 
2.9%
8.2567
 
2.8%
8.1550
 
2.7%
8508
 
2.5%
8.7471
 
2.3%
8.8463
 
2.3%
7.9395
 
1.9%
Other values (895)11142
54.8%
(Missing)3789
 
18.6%
ValueCountFrequency (%)
3.91
 
< 0.1%
4.51
 
< 0.1%
4.6714285711
 
< 0.1%
4.72
< 0.1%
5.33
< 0.1%
5.41
 
< 0.1%
5.63
< 0.1%
5.71
 
< 0.1%
5.72
< 0.1%
5.76251
 
< 0.1%
ValueCountFrequency (%)
16.766666671
< 0.1%
15.71
< 0.1%
15.651
< 0.1%
15.41
< 0.1%
14.951
< 0.1%
14.8251
< 0.1%
13.951
< 0.1%
13.61
< 0.1%
13.333333331
< 0.1%
13.21
< 0.1%

Calcium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct187
Distinct (%)1.1%
Missing3789
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean8.347399831
Minimum3.9
Maximum17.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:16.262388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile7.3
Q17.9
median8.3
Q38.75
95-th percentile9.4
Maximum17.5
Range13.6
Interquartile range (IQR)0.85

Descriptive statistics

Standard deviation0.6970001317
Coefficient of variation (CV)0.08349907107
Kurtosis7.022790756
Mean8.347399831
Median Absolute Deviation (MAD)0.4
Skewness0.7303607778
Sum138124.425
Variance0.4858091837
MonotonicityNot monotonic
2021-11-29T11:30:16.367644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3855
 
4.2%
8.2824
 
4.1%
8.5822
 
4.0%
8.4810
 
4.0%
8.1763
 
3.8%
8.6735
 
3.6%
8702
 
3.5%
8.7702
 
3.5%
8.8630
 
3.1%
7.9621
 
3.1%
Other values (177)9083
44.7%
(Missing)3789
18.6%
ValueCountFrequency (%)
3.91
 
< 0.1%
4.52
< 0.1%
4.72
< 0.1%
5.21
 
< 0.1%
5.33
< 0.1%
5.41
 
< 0.1%
5.51
 
< 0.1%
5.63
< 0.1%
5.71
 
< 0.1%
5.71
 
< 0.1%
ValueCountFrequency (%)
17.51
< 0.1%
15.71
< 0.1%
15.61
< 0.1%
15.41
< 0.1%
14.951
< 0.1%
14.51
< 0.1%
14.151
< 0.1%
13.951
< 0.1%
13.11
< 0.1%
131
< 0.1%

Chloride-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct71
Distinct (%)0.4%
Missing542
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean103.8362888
Minimum26
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:16.471248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile95
Q1101
median104
Q3107
95-th percentile112
Maximum137
Range111
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.324223637
Coefficient of variation (CV)0.05127517268
Kurtosis5.398835036
Mean103.8362888
Median Absolute Deviation (MAD)3
Skewness-0.6879826935
Sum2055335.5
Variance28.34735734
MonotonicityNot monotonic
2021-11-29T11:30:16.564843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1051748
 
8.6%
1041687
 
8.3%
1061644
 
8.1%
1031619
 
8.0%
1071480
 
7.3%
1021413
 
6.9%
1011212
 
6.0%
1081178
 
5.8%
1001043
 
5.1%
109997
 
4.9%
Other values (61)5773
28.4%
ValueCountFrequency (%)
261
 
< 0.1%
381
 
< 0.1%
631
 
< 0.1%
661
 
< 0.1%
701
 
< 0.1%
732
< 0.1%
741
 
< 0.1%
753
< 0.1%
763
< 0.1%
783
< 0.1%
ValueCountFrequency (%)
1371
 
< 0.1%
1331
 
< 0.1%
1321
 
< 0.1%
1311
 
< 0.1%
1302
 
< 0.1%
1291
 
< 0.1%
1282
 
< 0.1%
1272
 
< 0.1%
1252
 
< 0.1%
1246
< 0.1%

Chloride-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct65
Distinct (%)0.3%
Missing542
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean107.1987724
Minimum73
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:16.661820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile98
Q1104
median107
Q3111
95-th percentile116
Maximum145
Range72
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.611802707
Coefficient of variation (CV)0.05234950535
Kurtosis1.798068267
Mean107.1987724
Median Absolute Deviation (MAD)3
Skewness0.07079333277
Sum2121892.5
Variance31.49232962
MonotonicityNot monotonic
2021-11-29T11:30:16.758219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1081599
 
7.9%
1071569
 
7.7%
1091501
 
7.4%
1061487
 
7.3%
1101390
 
6.8%
1051333
 
6.6%
1041185
 
5.8%
1111162
 
5.7%
103994
 
4.9%
112967
 
4.8%
Other values (55)6607
32.5%
ValueCountFrequency (%)
731
 
< 0.1%
741
 
< 0.1%
802
 
< 0.1%
811
 
< 0.1%
821
 
< 0.1%
834
 
< 0.1%
841
 
< 0.1%
852
 
< 0.1%
865
< 0.1%
8711
0.1%
ValueCountFrequency (%)
1451
 
< 0.1%
1411
 
< 0.1%
1402
 
< 0.1%
1394
< 0.1%
1376
< 0.1%
1354
< 0.1%
1341
 
< 0.1%
1331
 
< 0.1%
1325
< 0.1%
1318
< 0.1%

Chloride-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct930
Distinct (%)4.7%
Missing542
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean105.5217411
Minimum67.5
Maximum138.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:16.862229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum67.5
5-th percentile97
Q1102.6666667
median106
Q3108.6666667
95-th percentile113.3333333
Maximum138.6
Range71.1
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.122767032
Coefficient of variation (CV)0.04854702904
Kurtosis1.836872713
Mean105.5217411
Median Absolute Deviation (MAD)3
Skewness-0.2649815802
Sum2088697.344
Variance26.24274206
MonotonicityNot monotonic
2021-11-29T11:30:16.958859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107913
 
4.5%
106911
 
4.5%
105884
 
4.3%
108781
 
3.8%
103749
 
3.7%
104722
 
3.6%
109647
 
3.2%
102553
 
2.7%
110515
 
2.5%
101491
 
2.4%
Other values (920)12628
62.1%
(Missing)542
 
2.7%
ValueCountFrequency (%)
67.51
 
< 0.1%
731
 
< 0.1%
741
 
< 0.1%
75.555555561
 
< 0.1%
78.285714291
 
< 0.1%
79.666666671
 
< 0.1%
80.333333331
 
< 0.1%
813
< 0.1%
81.333333331
 
< 0.1%
821
 
< 0.1%
ValueCountFrequency (%)
138.61
< 0.1%
135.1251
< 0.1%
133.751
< 0.1%
1331
< 0.1%
132.83333331
< 0.1%
1321
< 0.1%
1312
< 0.1%
129.89473681
< 0.1%
1291
< 0.1%
128.52
< 0.1%

Chloride-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct115
Distinct (%)0.6%
Missing542
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean105.5525538
Minimum67.5
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:17.062075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum67.5
5-th percentile97
Q1102.5
median106
Q3109
95-th percentile113.5
Maximum139
Range71.5
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.188519711
Coefficient of variation (CV)0.04915579514
Kurtosis1.865026289
Mean105.5525538
Median Absolute Deviation (MAD)3
Skewness-0.2435998154
Sum2089307.25
Variance26.9207368
MonotonicityNot monotonic
2021-11-29T11:30:17.255908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1061410
 
6.9%
1071373
 
6.8%
1051328
 
6.5%
1081212
 
6.0%
1041158
 
5.7%
1091080
 
5.3%
1031030
 
5.1%
110856
 
4.2%
102830
 
4.1%
101703
 
3.5%
Other values (105)8814
43.3%
ValueCountFrequency (%)
67.51
 
< 0.1%
701
 
< 0.1%
731
 
< 0.1%
741
 
< 0.1%
792
< 0.1%
801
 
< 0.1%
814
< 0.1%
822
< 0.1%
82.51
 
< 0.1%
834
< 0.1%
ValueCountFrequency (%)
1391
 
< 0.1%
1361
 
< 0.1%
1341
 
< 0.1%
1331
 
< 0.1%
132.51
 
< 0.1%
1313
< 0.1%
130.51
 
< 0.1%
1292
 
< 0.1%
128.51
 
< 0.1%
1286
< 0.1%

Creatinine-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct133
Distinct (%)0.7%
Missing461
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.184792453
Minimum0.1
Maximum25.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:17.356925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q10.6
median0.8
Q31.1
95-th percentile3.5
Maximum25.1
Range25
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.28246168
Coefficient of variation (CV)1.082435727
Kurtosis31.24324077
Mean1.184792453
Median Absolute Deviation (MAD)0.2
Skewness4.637918015
Sum23547.75
Variance1.644707961
MonotonicityNot monotonic
2021-11-29T11:30:17.454705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72837
14.0%
0.82572
12.6%
0.62410
11.9%
0.91898
9.3%
0.51735
8.5%
11401
 
6.9%
1.1959
 
4.7%
0.4838
 
4.1%
1.2745
 
3.7%
1.3546
 
2.7%
Other values (123)3934
19.3%
(Missing)461
 
2.3%
ValueCountFrequency (%)
0.118
 
0.1%
0.268
 
0.3%
0.3255
 
1.3%
0.4838
 
4.1%
0.51735
8.5%
0.62410
11.9%
0.72837
14.0%
0.752
 
< 0.1%
0.82572
12.6%
0.91898
9.3%
ValueCountFrequency (%)
25.11
< 0.1%
17.61
< 0.1%
17.31
< 0.1%
16.51
< 0.1%
15.71
< 0.1%
15.61
< 0.1%
14.71
< 0.1%
14.21
< 0.1%
13.82
< 0.1%
13.71
< 0.1%

Creatinine-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct156
Distinct (%)0.8%
Missing461
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.416528302
Minimum0.1
Maximum46.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:17.550448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q10.7
median0.9
Q31.3
95-th percentile4.4
Maximum46.6
Range46.5
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation1.60387656
Coefficient of variation (CV)1.132258747
Kurtosis55.75782003
Mean1.416528302
Median Absolute Deviation (MAD)0.2
Skewness5.189413788
Sum28153.5
Variance2.572420019
MonotonicityNot monotonic
2021-11-29T11:30:17.645587image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.82498
12.3%
0.72343
11.5%
0.92179
10.7%
11765
 
8.7%
0.61743
 
8.6%
1.11298
 
6.4%
0.5995
 
4.9%
1.2924
 
4.5%
1.3775
 
3.8%
1.4557
 
2.7%
Other values (146)4798
23.6%
(Missing)461
 
2.3%
ValueCountFrequency (%)
0.14
 
< 0.1%
0.220
 
0.1%
0.386
 
0.4%
0.4336
 
1.7%
0.5995
 
4.9%
0.551
 
< 0.1%
0.61743
8.6%
0.72343
11.5%
0.82498
12.3%
0.851
 
< 0.1%
ValueCountFrequency (%)
46.61
< 0.1%
29.11
< 0.1%
21.41
< 0.1%
19.91
< 0.1%
18.81
< 0.1%
18.51
< 0.1%
17.61
< 0.1%
17.31
< 0.1%
171
< 0.1%
161
< 0.1%

Creatinine-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1326
Distinct (%)6.7%
Missing461
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.298793482
Minimum0.1
Maximum27.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:17.741341image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q10.7
median0.9
Q31.24
95-th percentile3.925
Maximum27.4
Range27.3
Interquartile range (IQR)0.54

Descriptive statistics

Standard deviation1.417181747
Coefficient of variation (CV)1.091152494
Kurtosis29.28253775
Mean1.298793482
Median Absolute Deviation (MAD)0.25
Skewness4.486914185
Sum25813.52045
Variance2.008404104
MonotonicityNot monotonic
2021-11-29T11:30:17.831144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.71301
 
6.4%
0.81268
 
6.2%
0.91206
 
5.9%
0.61144
 
5.6%
1893
 
4.4%
0.5722
 
3.6%
0.75568
 
2.8%
1.1531
 
2.6%
0.85431
 
2.1%
0.65429
 
2.1%
Other values (1316)11382
56.0%
(Missing)461
 
2.3%
ValueCountFrequency (%)
0.13
 
< 0.1%
0.11
 
< 0.1%
0.13333333333
 
< 0.1%
0.153
 
< 0.1%
0.16666666671
 
< 0.1%
0.23
 
< 0.1%
0.211
0.1%
0.23
 
< 0.1%
0.23333333332
 
< 0.1%
0.2511
0.1%
ValueCountFrequency (%)
27.41
< 0.1%
20.966666671
< 0.1%
18.21
< 0.1%
17.61
< 0.1%
17.31
< 0.1%
15.851
< 0.1%
15.71
< 0.1%
15.61
< 0.1%
15.516666671
< 0.1%
15.2751
< 0.1%

Creatinine-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct309
Distinct (%)1.6%
Missing461
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.296369811
Minimum0.1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:17.927943image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q10.7
median0.9
Q31.2
95-th percentile3.9
Maximum28
Range27.9
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.412576324
Coefficient of variation (CV)1.089639941
Kurtosis28.50670414
Mean1.296369811
Median Absolute Deviation (MAD)0.25
Skewness4.437319699
Sum25765.35
Variance1.995371872
MonotonicityNot monotonic
2021-11-29T11:30:18.019407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72048
 
10.1%
0.81998
 
9.8%
0.91698
 
8.3%
0.61638
 
8.1%
11233
 
6.1%
0.51080
 
5.3%
1.1882
 
4.3%
0.75603
 
3.0%
1.2569
 
2.8%
0.85494
 
2.4%
Other values (299)7632
37.5%
ValueCountFrequency (%)
0.17
 
< 0.1%
0.153
 
< 0.1%
0.221
 
0.1%
0.2511
 
0.1%
0.398
 
0.5%
0.34
 
< 0.1%
0.3559
 
0.3%
0.4401
2.0%
0.454
 
< 0.1%
0.45157
 
0.8%
ValueCountFrequency (%)
281
< 0.1%
18.21
< 0.1%
17.61
< 0.1%
17.31
< 0.1%
15.851
< 0.1%
15.81
< 0.1%
15.71
< 0.1%
15.61
< 0.1%
14.751
< 0.1%
14.651
< 0.1%

Bilirubin_direct-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct97
Distinct (%)16.6%
Missing19750
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.391296928
Minimum0.1
Maximum37.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:18.116642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.4
median0.9
Q32.6
95-th percentile9.425
Maximum37.5
Range37.4
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation4.170667948
Coefficient of variation (CV)1.744102917
Kurtosis22.4578301
Mean2.391296928
Median Absolute Deviation (MAD)0.7
Skewness4.136988138
Sum1401.3
Variance17.39447114
MonotonicityNot monotonic
2021-11-29T11:30:18.213403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.259
 
0.3%
0.144
 
0.2%
0.443
 
0.2%
0.340
 
0.2%
0.530
 
0.1%
0.628
 
0.1%
0.723
 
0.1%
0.821
 
0.1%
1.118
 
0.1%
114
 
0.1%
Other values (87)266
 
1.3%
(Missing)19750
97.1%
ValueCountFrequency (%)
0.144
0.2%
0.259
0.3%
0.340
0.2%
0.443
0.2%
0.530
0.1%
0.628
0.1%
0.723
 
0.1%
0.821
 
0.1%
0.914
 
0.1%
114
 
0.1%
ValueCountFrequency (%)
37.51
< 0.1%
351
< 0.1%
301
< 0.1%
22.81
< 0.1%
22.21
< 0.1%
21.21
< 0.1%
211
< 0.1%
19.81
< 0.1%
19.21
< 0.1%
181
< 0.1%

Bilirubin_direct-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct112
Distinct (%)19.1%
Missing19750
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.905631399
Minimum0.1
Maximum37.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:18.313830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.4
median1.1
Q33.3
95-th percentile11.8
Maximum37.5
Range37.4
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation4.739387861
Coefficient of variation (CV)1.631104297
Kurtosis15.48354135
Mean2.905631399
Median Absolute Deviation (MAD)0.9
Skewness3.501304236
Sum1702.7
Variance22.46179729
MonotonicityNot monotonic
2021-11-29T11:30:18.410469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.253
 
0.3%
0.143
 
0.2%
0.440
 
0.2%
0.331
 
0.2%
0.526
 
0.1%
0.626
 
0.1%
0.720
 
0.1%
0.819
 
0.1%
1.119
 
0.1%
118
 
0.1%
Other values (102)291
 
1.4%
(Missing)19750
97.1%
ValueCountFrequency (%)
0.143
0.2%
0.253
0.3%
0.331
0.2%
0.440
0.2%
0.526
0.1%
0.626
0.1%
0.720
 
0.1%
0.819
 
0.1%
0.99
 
< 0.1%
118
 
0.1%
ValueCountFrequency (%)
37.51
< 0.1%
351
< 0.1%
301
< 0.1%
29.11
< 0.1%
281
< 0.1%
26.41
< 0.1%
22.21
< 0.1%
21.61
< 0.1%
21.21
< 0.1%
211
< 0.1%

Bilirubin_direct-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct201
Distinct (%)34.3%
Missing19750
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.642075183
Minimum0.1
Maximum37.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:18.510463image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.4
median1
Q32.9
95-th percentile10.6125
Maximum37.5
Range37.4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation4.413299266
Coefficient of variation (CV)1.670391249
Kurtosis18.3851269
Mean2.642075183
Median Absolute Deviation (MAD)0.8
Skewness3.767365242
Sum1548.256057
Variance19.47721041
MonotonicityNot monotonic
2021-11-29T11:30:18.605441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.252
 
0.3%
0.143
 
0.2%
0.438
 
0.2%
0.329
 
0.1%
0.624
 
0.1%
0.523
 
0.1%
0.816
 
0.1%
0.713
 
0.1%
1.113
 
0.1%
110
 
< 0.1%
Other values (191)325
 
1.6%
(Missing)19750
97.1%
ValueCountFrequency (%)
0.143
0.2%
0.16666666671
 
< 0.1%
0.252
0.3%
0.252
 
< 0.1%
0.329
0.1%
0.321
 
< 0.1%
0.354
 
< 0.1%
0.36666666671
 
< 0.1%
0.41
 
< 0.1%
0.438
0.2%
ValueCountFrequency (%)
37.51
< 0.1%
351
< 0.1%
301
< 0.1%
25.951
< 0.1%
22.21
< 0.1%
21.22
< 0.1%
211
< 0.1%
20.051
< 0.1%
19.81
< 0.1%
19.651
< 0.1%

Bilirubin_direct-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct147
Distinct (%)25.1%
Missing19750
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.631399317
Minimum0.1
Maximum37.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:18.705449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.4
median1
Q32.9
95-th percentile9.8875
Maximum37.5
Range37.4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation4.444859175
Coefficient of variation (CV)1.689161787
Kurtosis18.54377071
Mean2.631399317
Median Absolute Deviation (MAD)0.8
Skewness3.80559874
Sum1542
Variance19.75677308
MonotonicityNot monotonic
2021-11-29T11:30:18.899581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.253
 
0.3%
0.143
 
0.2%
0.442
 
0.2%
0.331
 
0.2%
0.627
 
0.1%
0.524
 
0.1%
0.820
 
0.1%
0.715
 
0.1%
0.914
 
0.1%
1.613
 
0.1%
Other values (137)304
 
1.5%
(Missing)19750
97.1%
ValueCountFrequency (%)
0.143
0.2%
0.253
0.3%
0.252
 
< 0.1%
0.331
0.2%
0.355
 
< 0.1%
0.442
0.2%
0.453
 
< 0.1%
0.524
0.1%
0.553
 
< 0.1%
0.627
0.1%
ValueCountFrequency (%)
37.51
< 0.1%
351
< 0.1%
301
< 0.1%
25.951
< 0.1%
25.21
< 0.1%
22.21
< 0.1%
21.651
< 0.1%
21.21
< 0.1%
211
< 0.1%
19.81
< 0.1%

Glucose-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct419
Distinct (%)2.1%
Missing407
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean107.2559878
Minimum10
Maximum666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:18.999064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile64
Q187
median102
Q3121
95-th percentile165
Maximum666
Range656
Interquartile range (IQR)34

Descriptive statistics

Standard deviation35.1406194
Coefficient of variation (CV)0.3276331712
Kurtosis17.1122498
Mean107.2559878
Median Absolute Deviation (MAD)17
Skewness2.461324942
Sum2137504.58
Variance1234.863132
MonotonicityNot monotonic
2021-11-29T11:30:19.096459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100370
 
1.8%
97344
 
1.7%
98343
 
1.7%
95334
 
1.6%
88334
 
1.6%
103328
 
1.6%
106323
 
1.6%
90318
 
1.6%
102318
 
1.6%
96318
 
1.6%
Other values (409)16599
81.6%
(Missing)407
 
2.0%
ValueCountFrequency (%)
101
 
< 0.1%
111
 
< 0.1%
141
 
< 0.1%
171
 
< 0.1%
181
 
< 0.1%
192
< 0.1%
212
< 0.1%
221
 
< 0.1%
242
< 0.1%
253
< 0.1%
ValueCountFrequency (%)
6661
< 0.1%
6511
< 0.1%
5631
< 0.1%
5011
< 0.1%
4721
< 0.1%
4342
< 0.1%
4201
< 0.1%
4181
< 0.1%
4152
< 0.1%
4071
< 0.1%

Glucose-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct676
Distinct (%)3.4%
Missing407
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean163.8167745
Minimum19
Maximum988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:19.201828image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile93
Q1123
median149
Q3184
95-th percentile280
Maximum988
Range969
Interquartile range (IQR)61

Descriptive statistics

Standard deviation70.79349599
Coefficient of variation (CV)0.4321504692
Kurtosis21.57353284
Mean163.8167745
Median Absolute Deviation (MAD)30
Skewness3.39599843
Sum3264704.5
Variance5011.719074
MonotonicityNot monotonic
2021-11-29T11:30:19.301883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142207
 
1.0%
145195
 
1.0%
124195
 
1.0%
129195
 
1.0%
136194
 
1.0%
144194
 
1.0%
149193
 
0.9%
131193
 
0.9%
134193
 
0.9%
127191
 
0.9%
Other values (666)17979
88.4%
(Missing)407
 
2.0%
ValueCountFrequency (%)
191
< 0.1%
311
< 0.1%
382
< 0.1%
401
< 0.1%
411
< 0.1%
421
< 0.1%
461
< 0.1%
471
< 0.1%
481
< 0.1%
512
< 0.1%
ValueCountFrequency (%)
9881
< 0.1%
9601
< 0.1%
9521
< 0.1%
9341
< 0.1%
9241
< 0.1%
9141
< 0.1%
9131
< 0.1%
9121
< 0.1%
9071
< 0.1%
8961
< 0.1%

Glucose-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct4538
Distinct (%)22.8%
Missing407
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean132.6371371
Minimum19
Maximum693.1333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:19.402473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile88
Q1109.625
median125
Q3146
95-th percentile202.9
Maximum693.1333333
Range674.1333333
Interquartile range (IQR)36.375

Descriptive statistics

Standard deviation39.28551348
Coefficient of variation (CV)0.2961878878
Kurtosis15.36827196
Mean132.6371371
Median Absolute Deviation (MAD)17.66666667
Skewness2.596670717
Sum2643325.505
Variance1543.351569
MonotonicityNot monotonic
2021-11-29T11:30:19.495721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105135
 
0.7%
112125
 
0.6%
120121
 
0.6%
121118
 
0.6%
108118
 
0.6%
124118
 
0.6%
122117
 
0.6%
119117
 
0.6%
114116
 
0.6%
110113
 
0.6%
Other values (4528)18731
92.1%
(Missing)407
 
2.0%
ValueCountFrequency (%)
191
 
< 0.1%
311
 
< 0.1%
382
< 0.1%
401
 
< 0.1%
411
 
< 0.1%
422
< 0.1%
461
 
< 0.1%
472
< 0.1%
481
 
< 0.1%
513
< 0.1%
ValueCountFrequency (%)
693.13333331
< 0.1%
671.51
< 0.1%
6661
< 0.1%
5631
< 0.1%
521.33333331
< 0.1%
509.251
< 0.1%
5011
< 0.1%
499.33333331
< 0.1%
4721
< 0.1%
4631
< 0.1%

Glucose-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct702
Distinct (%)3.5%
Missing407
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean130.3958929
Minimum19
Maximum755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:19.596868image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile87
Q1107.5
median123
Q3143.5
95-th percentile199
Maximum755
Range736
Interquartile range (IQR)36

Descriptive statistics

Standard deviation38.94551034
Coefficient of variation (CV)0.2986712961
Kurtosis17.93101417
Mean130.3958929
Median Absolute Deviation (MAD)17.5
Skewness2.760072682
Sum2598659.75
Variance1516.752776
MonotonicityNot monotonic
2021-11-29T11:30:19.692208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119276
 
1.4%
118270
 
1.3%
121265
 
1.3%
109261
 
1.3%
112249
 
1.2%
114245
 
1.2%
116241
 
1.2%
127236
 
1.2%
120235
 
1.2%
123234
 
1.2%
Other values (692)17417
85.6%
(Missing)407
 
2.0%
ValueCountFrequency (%)
191
< 0.1%
311
< 0.1%
382
< 0.1%
401
< 0.1%
411
< 0.1%
422
< 0.1%
462
< 0.1%
472
< 0.1%
481
< 0.1%
491
< 0.1%
ValueCountFrequency (%)
7551
< 0.1%
671.51
< 0.1%
6661
< 0.1%
5631
< 0.1%
5421
< 0.1%
5311
< 0.1%
522.51
< 0.1%
5011
< 0.1%
482.51
< 0.1%
4721
< 0.1%

Lactate-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct171
Distinct (%)2.2%
Missing12603
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean1.679900427
Minimum0.2
Maximum26.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:19.793173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.7
Q11
median1.3
Q31.9
95-th percentile3.57
Maximum26.9
Range26.7
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation1.385789896
Coefficient of variation (CV)0.8249238309
Kurtosis55.27437723
Mean1.679900427
Median Absolute Deviation (MAD)0.4
Skewness5.854482183
Sum12990.67
Variance1.920413635
MonotonicityNot monotonic
2021-11-29T11:30:19.891184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1620
 
3.0%
0.9588
 
2.9%
1.2573
 
2.8%
1.1545
 
2.7%
1.3508
 
2.5%
0.8482
 
2.4%
1.4471
 
2.3%
1.6393
 
1.9%
1.5380
 
1.9%
1.7302
 
1.5%
Other values (161)2871
 
14.1%
(Missing)12603
62.0%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.35
 
< 0.1%
0.371
 
< 0.1%
0.418
 
0.1%
0.550
 
0.2%
0.551
 
< 0.1%
0.6166
0.8%
0.7299
1.5%
0.731
 
< 0.1%
0.751
 
< 0.1%
ValueCountFrequency (%)
26.91
< 0.1%
22.41
< 0.1%
17.81
< 0.1%
17.51
< 0.1%
17.41
< 0.1%
16.751
< 0.1%
16.71
< 0.1%
16.42
< 0.1%
15.42
< 0.1%
15.31
< 0.1%

Lactate-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct248
Distinct (%)3.2%
Missing12603
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean2.607383939
Minimum0.3
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:19.989516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.8
Q11.3
median1.9
Q33
95-th percentile6.6
Maximum31
Range30.7
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation2.392212533
Coefficient of variation (CV)0.9174761329
Kurtosis24.48338048
Mean2.607383939
Median Absolute Deviation (MAD)0.7
Skewness4.019000215
Sum20162.9
Variance5.722680804
MonotonicityNot monotonic
2021-11-29T11:30:20.085756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3378
 
1.9%
1.4367
 
1.8%
1.2357
 
1.8%
1350
 
1.7%
1.6348
 
1.7%
1.5329
 
1.6%
1.1302
 
1.5%
1.7292
 
1.4%
1.8288
 
1.4%
0.9270
 
1.3%
Other values (238)4452
 
21.9%
(Missing)12603
62.0%
ValueCountFrequency (%)
0.32
 
< 0.1%
0.371
 
< 0.1%
0.45
 
< 0.1%
0.518
 
0.1%
0.551
 
< 0.1%
0.656
 
0.3%
0.7114
0.6%
0.731
 
< 0.1%
0.8210
1.0%
0.9270
1.3%
ValueCountFrequency (%)
311
< 0.1%
28.91
< 0.1%
28.81
< 0.1%
271
< 0.1%
25.91
< 0.1%
24.61
< 0.1%
24.51
< 0.1%
241
< 0.1%
23.51
< 0.1%
23.31
< 0.1%

Lactate-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1364
Distinct (%)17.6%
Missing12603
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean2.093051854
Minimum0.3
Maximum26.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:20.187206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.8
Q11.2
median1.666666667
Q32.4
95-th percentile4.614
Maximum26.95
Range26.65
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.703575579
Coefficient of variation (CV)0.8139194333
Kurtosis35.54188518
Mean2.093051854
Median Absolute Deviation (MAD)0.5333333333
Skewness4.752367759
Sum16185.56998
Variance2.902169752
MonotonicityNot monotonic
2021-11-29T11:30:20.284584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1297
 
1.5%
1.2290
 
1.4%
1.3282
 
1.4%
1.4258
 
1.3%
0.9249
 
1.2%
1.1242
 
1.2%
1.5240
 
1.2%
1.6222
 
1.1%
1.7189
 
0.9%
1.8184
 
0.9%
Other values (1354)5280
26.0%
(Missing)12603
62.0%
ValueCountFrequency (%)
0.32
 
< 0.1%
0.3251
 
< 0.1%
0.371
 
< 0.1%
0.44
 
< 0.1%
0.519
 
0.1%
0.557
 
< 0.1%
0.56666666672
 
< 0.1%
0.5751
 
< 0.1%
0.652
0.3%
0.63
 
< 0.1%
ValueCountFrequency (%)
26.951
< 0.1%
25.051
< 0.1%
21.788888891
< 0.1%
191
< 0.1%
18.72
< 0.1%
18.6251
< 0.1%
17.81
< 0.1%
17.51
< 0.1%
17.1251
< 0.1%
16.806666671
< 0.1%

Lactate-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct346
Distinct (%)4.5%
Missing12603
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean2.049350834
Minimum0.3
Maximum26.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:20.378419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.8
Q11.2
median1.6
Q32.3
95-th percentile4.5
Maximum26.95
Range26.65
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.693545629
Coefficient of variation (CV)0.8263815063
Kurtosis37.86768288
Mean2.049350834
Median Absolute Deviation (MAD)0.5
Skewness4.906191223
Sum15847.63
Variance2.868096798
MonotonicityNot monotonic
2021-11-29T11:30:20.572541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1395
 
1.9%
1.2385
 
1.9%
1.4371
 
1.8%
1.3366
 
1.8%
1.1357
 
1.8%
0.9327
 
1.6%
1.5321
 
1.6%
1.6312
 
1.5%
1.7268
 
1.3%
1.8259
 
1.3%
Other values (336)4372
 
21.5%
(Missing)12603
62.0%
ValueCountFrequency (%)
0.33
 
< 0.1%
0.371
 
< 0.1%
0.44
 
< 0.1%
0.520
 
0.1%
0.558
 
< 0.1%
0.665
0.3%
0.63
 
< 0.1%
0.6511
 
0.1%
0.655
 
< 0.1%
0.7131
0.6%
ValueCountFrequency (%)
26.951
< 0.1%
24.851
< 0.1%
22.31
< 0.1%
19.91
< 0.1%
19.31
< 0.1%
192
< 0.1%
18.21
< 0.1%
17.81
< 0.1%
17.51
< 0.1%
17.1251
< 0.1%

Magnesium-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct47
Distinct (%)0.2%
Missing1388
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean1.864042643
Minimum0.2
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:20.668532image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.4
Q11.7
median1.8
Q32
95-th percentile2.4
Maximum8.2
Range8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.3432759491
Coefficient of variation (CV)0.1841567039
Kurtosis12.96717616
Mean1.864042643
Median Absolute Deviation (MAD)0.2
Skewness1.286745587
Sum35319.88
Variance0.1178383772
MonotonicityNot monotonic
2021-11-29T11:30:20.765158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1.82691
13.2%
1.92565
12.6%
1.72362
11.6%
22041
10.0%
1.61757
8.6%
2.11539
7.6%
1.51189
5.8%
2.21075
 
5.3%
1.4728
 
3.6%
2.3718
 
3.5%
Other values (37)2283
11.2%
(Missing)1388
6.8%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.75
 
< 0.1%
0.87
 
< 0.1%
0.925
 
0.1%
178
 
0.4%
1.1129
 
0.6%
1.141
 
< 0.1%
1.2249
 
1.2%
1.3430
2.1%
1.4728
3.6%
ValueCountFrequency (%)
8.21
 
< 0.1%
6.52
 
< 0.1%
6.21
 
< 0.1%
4.61
 
< 0.1%
4.51
 
< 0.1%
4.21
 
< 0.1%
4.12
 
< 0.1%
43
< 0.1%
3.81
 
< 0.1%
3.75
< 0.1%

Magnesium-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct63
Distinct (%)0.3%
Missing1388
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean2.180462318
Minimum0.8
Maximum9.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:20.868153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.6
Q11.9
median2.1
Q32.4
95-th percentile2.9
Maximum9.7
Range8.9
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.4214289648
Coefficient of variation (CV)0.1932750506
Kurtosis31.062933
Mean2.180462318
Median Absolute Deviation (MAD)0.2
Skewness2.896517979
Sum41315.4
Variance0.1776023724
MonotonicityNot monotonic
2021-11-29T11:30:20.958975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.12458
12.1%
22321
11.4%
2.22220
10.9%
1.91857
9.1%
2.31809
8.9%
2.41408
6.9%
1.81357
6.7%
2.51009
 
5.0%
1.7895
 
4.4%
2.6735
 
3.6%
Other values (53)2879
14.2%
(Missing)1388
6.8%
ValueCountFrequency (%)
0.81
 
< 0.1%
0.92
 
< 0.1%
18
 
< 0.1%
1.112
 
0.1%
1.228
 
0.1%
1.373
 
0.4%
1.4122
 
0.6%
1.5234
 
1.2%
1.6535
2.6%
1.7895
4.4%
ValueCountFrequency (%)
9.71
 
< 0.1%
9.61
 
< 0.1%
8.92
< 0.1%
8.31
 
< 0.1%
8.21
 
< 0.1%
7.61
 
< 0.1%
7.51
 
< 0.1%
6.51
 
< 0.1%
6.41
 
< 0.1%
6.33
< 0.1%

Magnesium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct739
Distinct (%)3.9%
Missing1388
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean2.018570403
Minimum0.8
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:21.053122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.6
Q11.8
median2
Q32.175
95-th percentile2.55
Maximum8.2
Range7.4
Interquartile range (IQR)0.375

Descriptive statistics

Standard deviation0.3182137285
Coefficient of variation (CV)0.1576431161
Kurtosis19.34391377
Mean2.018570403
Median Absolute Deviation (MAD)0.18
Skewness1.922416785
Sum38247.872
Variance0.101259977
MonotonicityNot monotonic
2021-11-29T11:30:21.150638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21491
 
7.3%
1.91247
 
6.1%
2.11147
 
5.6%
1.81081
 
5.3%
2.2797
 
3.9%
1.7773
 
3.8%
2.3531
 
2.6%
1.85480
 
2.4%
1.6475
 
2.3%
2.05472
 
2.3%
Other values (729)10454
51.4%
(Missing)1388
 
6.8%
ValueCountFrequency (%)
0.81
 
< 0.1%
0.92
 
< 0.1%
18
 
< 0.1%
1.052
 
< 0.1%
1.0666666671
 
< 0.1%
1.111
 
0.1%
1.151
 
< 0.1%
1.1666666671
 
< 0.1%
1.228
0.1%
1.22
 
< 0.1%
ValueCountFrequency (%)
8.21
< 0.1%
6.81
< 0.1%
6.6751
< 0.1%
6.51
< 0.1%
6.21
< 0.1%
4.7751
< 0.1%
4.51
< 0.1%
4.22
< 0.1%
4.121
< 0.1%
4.12
< 0.1%

Magnesium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct101
Distinct (%)0.5%
Missing1388
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean2.014033407
Minimum0.8
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:21.254571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.6
Q11.8
median2
Q32.2
95-th percentile2.55
Maximum8.2
Range7.4
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.3214007491
Coefficient of variation (CV)0.1595806445
Kurtosis18.47951537
Mean2.014033407
Median Absolute Deviation (MAD)0.2
Skewness1.820237523
Sum38161.905
Variance0.1032984415
MonotonicityNot monotonic
2021-11-29T11:30:21.349373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22332
11.5%
1.92190
 
10.8%
2.11800
 
8.9%
1.81626
 
8.0%
2.21414
 
7.0%
1.71114
 
5.5%
2.3975
 
4.8%
1.6764
 
3.8%
1.85606
 
3.0%
2.4588
 
2.9%
Other values (91)5539
27.2%
(Missing)1388
 
6.8%
ValueCountFrequency (%)
0.82
 
< 0.1%
0.92
 
< 0.1%
110
 
< 0.1%
1.051
 
< 0.1%
1.114
 
0.1%
1.151
 
< 0.1%
1.236
0.2%
1.22
 
< 0.1%
1.259
 
< 0.1%
1.32
 
< 0.1%
ValueCountFrequency (%)
8.21
< 0.1%
6.91
< 0.1%
6.61
< 0.1%
6.51
< 0.1%
6.21
< 0.1%
4.71
< 0.1%
4.51
< 0.1%
4.41
< 0.1%
4.22
< 0.1%
4.12
< 0.1%

Phosphate-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct114
Distinct (%)0.7%
Missing3650
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.207590195
Minimum0.2
Maximum13.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:21.447968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.6
Q12.4
median3.1
Q33.8
95-th percentile5.3
Maximum13.5
Range13.3
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.19385278
Coefficient of variation (CV)0.3721961681
Kurtosis4.851664704
Mean3.207590195
Median Absolute Deviation (MAD)0.7
Skewness1.38697156
Sum53521.85
Variance1.425284459
MonotonicityNot monotonic
2021-11-29T11:30:21.554446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9714
 
3.5%
3.1712
 
3.5%
2.7708
 
3.5%
3.2688
 
3.4%
2.8678
 
3.3%
2.6655
 
3.2%
3.3623
 
3.1%
3619
 
3.0%
2.5605
 
3.0%
3.4579
 
2.8%
Other values (104)10105
49.7%
(Missing)3650
 
17.9%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.35
 
< 0.1%
0.43
 
< 0.1%
0.511
 
0.1%
0.613
 
0.1%
0.724
 
0.1%
0.827
 
0.1%
0.923
 
0.1%
151
0.3%
1.175
0.4%
ValueCountFrequency (%)
13.51
 
< 0.1%
12.91
 
< 0.1%
12.41
 
< 0.1%
12.31
 
< 0.1%
12.22
< 0.1%
12.11
 
< 0.1%
11.21
 
< 0.1%
11.11
 
< 0.1%
113
< 0.1%
10.53
< 0.1%

Phosphate-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct138
Distinct (%)0.8%
Missing3650
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.925970874
Minimum0.5
Maximum18.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:21.657728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile2.3
Q13.1
median3.7
Q34.4
95-th percentile6.4
Maximum18.8
Range18.3
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation1.376467273
Coefficient of variation (CV)0.3506055743
Kurtosis8.827872226
Mean3.925970874
Median Absolute Deviation (MAD)0.7
Skewness2.076309712
Sum65508.75
Variance1.894662153
MonotonicityNot monotonic
2021-11-29T11:30:21.753655image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.4731
 
3.6%
3.6712
 
3.5%
3.7706
 
3.5%
3.2702
 
3.5%
3.5700
 
3.4%
3.3687
 
3.4%
3.1652
 
3.2%
3.8647
 
3.2%
3.9640
 
3.1%
4.1572
 
2.8%
Other values (128)9937
48.9%
(Missing)3650
 
17.9%
ValueCountFrequency (%)
0.51
 
< 0.1%
0.71
 
< 0.1%
0.81
 
< 0.1%
0.92
 
< 0.1%
15
 
< 0.1%
1.16
 
< 0.1%
1.216
0.1%
1.315
0.1%
1.423
0.1%
1.525
0.1%
ValueCountFrequency (%)
18.81
< 0.1%
17.61
< 0.1%
16.91
< 0.1%
16.51
< 0.1%
16.41
< 0.1%
15.61
< 0.1%
14.51
< 0.1%
14.21
< 0.1%
14.11
< 0.1%
141
< 0.1%

Phosphate-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1262
Distinct (%)7.6%
Missing3650
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.557916442
Minimum0.45
Maximum14.46666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:21.856333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.45
5-th percentile2.1
Q12.8
median3.35
Q34.05
95-th percentile5.7
Maximum14.46666667
Range14.01666667
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.19359207
Coefficient of variation (CV)0.3354750144
Kurtosis6.687354431
Mean3.557916442
Median Absolute Deviation (MAD)0.6
Skewness1.789741422
Sum59367.39375
Variance1.424662029
MonotonicityNot monotonic
2021-11-29T11:30:21.949496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.5443
 
2.2%
3432
 
2.1%
3.1425
 
2.1%
3.3417
 
2.1%
3.2411
 
2.0%
3.4401
 
2.0%
2.8370
 
1.8%
3.6362
 
1.8%
2.9362
 
1.8%
3.7355
 
1.7%
Other values (1252)12708
62.5%
(Missing)3650
 
17.9%
ValueCountFrequency (%)
0.451
 
< 0.1%
0.71
 
< 0.1%
0.82
 
< 0.1%
0.93
< 0.1%
0.91428571431
 
< 0.1%
0.952
 
< 0.1%
0.9751
 
< 0.1%
15
< 0.1%
1.061
 
< 0.1%
1.11
 
< 0.1%
ValueCountFrequency (%)
14.466666671
< 0.1%
14.451
< 0.1%
13.3751
< 0.1%
13.31
< 0.1%
13.216666671
< 0.1%
131
< 0.1%
12.91
< 0.1%
12.41
< 0.1%
12.11
< 0.1%
11.966666671
< 0.1%

Phosphate-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct277
Distinct (%)1.7%
Missing3650
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.549626933
Minimum0.45
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:22.048198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.45
5-th percentile2
Q12.8
median3.35
Q34.05
95-th percentile5.7
Maximum14.7
Range14.25
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.208313267
Coefficient of variation (CV)0.3404057073
Kurtosis6.749329766
Mean3.549626933
Median Absolute Deviation (MAD)0.65
Skewness1.772552306
Sum59229.075
Variance1.46002095
MonotonicityNot monotonic
2021-11-29T11:30:22.239858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2597
 
2.9%
3586
 
2.9%
3.3577
 
2.8%
3.5559
 
2.7%
3.1546
 
2.7%
2.8531
 
2.6%
3.4520
 
2.6%
3.7487
 
2.4%
2.9481
 
2.4%
2.7473
 
2.3%
Other values (267)11329
55.7%
(Missing)3650
 
17.9%
ValueCountFrequency (%)
0.451
 
< 0.1%
0.52
 
< 0.1%
0.61
 
< 0.1%
0.71
 
< 0.1%
0.82
 
< 0.1%
0.852
 
< 0.1%
0.97
< 0.1%
0.951
 
< 0.1%
17
< 0.1%
1.052
 
< 0.1%
ValueCountFrequency (%)
14.71
< 0.1%
14.351
< 0.1%
13.651
< 0.1%
13.31
< 0.1%
13.051
< 0.1%
131
< 0.1%
12.91
< 0.1%
12.651
< 0.1%
12.61
< 0.1%
12.51
< 0.1%

Potassium-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct71
Distinct (%)0.4%
Missing433
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean3.815108275
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:22.338969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13.5
median3.8
Q34.1
95-th percentile4.7
Maximum9
Range8
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.516029457
Coefficient of variation (CV)0.1352594526
Kurtosis1.755362517
Mean3.815108275
Median Absolute Deviation (MAD)0.3
Skewness0.4984364654
Sum75932.1
Variance0.2662864004
MonotonicityNot monotonic
2021-11-29T11:30:22.436929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.81780
 
8.8%
3.71743
 
8.6%
3.61665
 
8.2%
3.91581
 
7.8%
3.51427
 
7.0%
41376
 
6.8%
3.41258
 
6.2%
4.11204
 
5.9%
4.21019
 
5.0%
3.3966
 
4.8%
Other values (61)5884
28.9%
ValueCountFrequency (%)
11
 
< 0.1%
1.51
 
< 0.1%
1.61
 
< 0.1%
1.82
 
< 0.1%
1.95
 
< 0.1%
24
 
< 0.1%
2.110
 
< 0.1%
2.26
 
< 0.1%
2.314
0.1%
2.426
0.1%
ValueCountFrequency (%)
91
 
< 0.1%
7.11
 
< 0.1%
6.91
 
< 0.1%
6.71
 
< 0.1%
6.53
< 0.1%
6.42
 
< 0.1%
6.32
 
< 0.1%
6.26
< 0.1%
6.12
 
< 0.1%
66
< 0.1%

Potassium-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct102
Distinct (%)0.5%
Missing433
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.480864191
Minimum2.2
Maximum27.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:22.537641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile3.6
Q14
median4.4
Q34.8
95-th percentile5.7
Maximum27.5
Range25.3
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.719283605
Coefficient of variation (CV)0.1605234112
Kurtosis59.32436812
Mean4.480864191
Median Absolute Deviation (MAD)0.4
Skewness3.297248628
Sum89182.64
Variance0.5173689044
MonotonicityNot monotonic
2021-11-29T11:30:22.635526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.21529
 
7.5%
4.31525
 
7.5%
4.41424
 
7.0%
4.11417
 
7.0%
41336
 
6.6%
4.51336
 
6.6%
4.61187
 
5.8%
3.91078
 
5.3%
4.71024
 
5.0%
4.8872
 
4.3%
Other values (92)7175
35.3%
ValueCountFrequency (%)
2.21
 
< 0.1%
2.51
 
< 0.1%
2.72
 
< 0.1%
2.87
 
< 0.1%
2.93
 
< 0.1%
332
 
0.2%
3.149
 
0.2%
3.280
0.4%
3.3129
0.6%
3.351
 
< 0.1%
ValueCountFrequency (%)
27.51
 
< 0.1%
131
 
< 0.1%
103
< 0.1%
9.93
< 0.1%
9.83
< 0.1%
9.73
< 0.1%
9.52
< 0.1%
9.42
< 0.1%
9.31
 
< 0.1%
9.24
< 0.1%

Potassium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1565
Distinct (%)7.9%
Missing433
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.135700082
Minimum2.2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:22.732947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile3.45
Q13.806904762
median4.1
Q34.4
95-th percentile5
Maximum9
Range6.8
Interquartile range (IQR)0.5930952381

Descriptive statistics

Standard deviation0.4834578783
Coefficient of variation (CV)0.1168986795
Kurtosis2.579263651
Mean4.135700082
Median Absolute Deviation (MAD)0.3
Skewness0.8839187897
Sum82312.83873
Variance0.2337315201
MonotonicityNot monotonic
2021-11-29T11:30:22.829563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4839
 
4.1%
3.9723
 
3.6%
4.1616
 
3.0%
4.2614
 
3.0%
3.8555
 
2.7%
4.3533
 
2.6%
3.7441
 
2.2%
4.5404
 
2.0%
4.4403
 
2.0%
3.6388
 
1.9%
Other values (1555)14387
70.7%
(Missing)433
 
2.1%
ValueCountFrequency (%)
2.21
 
< 0.1%
2.51
 
< 0.1%
2.651
 
< 0.1%
2.6666666671
 
< 0.1%
2.73
< 0.1%
2.721
 
< 0.1%
2.753
< 0.1%
2.87
< 0.1%
2.821
 
< 0.1%
2.851
 
< 0.1%
ValueCountFrequency (%)
91
< 0.1%
8.461
< 0.1%
7.11
< 0.1%
6.981
< 0.1%
6.91
< 0.1%
6.851
< 0.1%
6.81
< 0.1%
6.81
< 0.1%
6.7751
< 0.1%
6.751
< 0.1%

Potassium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct144
Distinct (%)0.7%
Missing433
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.123865749
Minimum2.2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:22.931081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile3.4
Q13.8
median4.1
Q34.4
95-th percentile5
Maximum9
Range6.8
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.486336847
Coefficient of variation (CV)0.1179322695
Kurtosis2.429622932
Mean4.123865749
Median Absolute Deviation (MAD)0.3
Skewness0.8499025233
Sum82077.3
Variance0.2365235288
MonotonicityNot monotonic
2021-11-29T11:30:23.028505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41552
 
7.6%
4.11396
 
6.9%
3.91342
 
6.6%
3.81276
 
6.3%
4.21237
 
6.1%
4.31074
 
5.3%
3.71005
 
4.9%
4.4943
 
4.6%
4.5754
 
3.7%
3.6686
 
3.4%
Other values (134)8638
42.5%
ValueCountFrequency (%)
2.21
 
< 0.1%
2.52
 
< 0.1%
2.62
 
< 0.1%
2.651
 
< 0.1%
2.75
 
< 0.1%
2.752
 
< 0.1%
2.815
0.1%
2.852
 
< 0.1%
2.913
0.1%
2.93
 
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
7.31
 
< 0.1%
7.12
< 0.1%
6.93
< 0.1%
6.82
< 0.1%
6.82
< 0.1%
6.72
< 0.1%
6.63
< 0.1%
6.552
< 0.1%
6.53
< 0.1%

Bilirubin_total-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct206
Distinct (%)3.6%
Missing14566
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.586646447
Minimum0.1
Maximum45.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:23.130538image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.7
Q31.2
95-th percentile5.6
Maximum45.9
Range45.8
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation3.545279592
Coefficient of variation (CV)2.234448385
Kurtosis51.58048869
Mean1.586646447
Median Absolute Deviation (MAD)0.3
Skewness6.412716124
Sum9154.95
Variance12.56900739
MonotonicityNot monotonic
2021-11-29T11:30:23.228203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3631
 
3.1%
0.4618
 
3.0%
0.5596
 
2.9%
0.6488
 
2.4%
0.7417
 
2.1%
0.2394
 
1.9%
0.8315
 
1.5%
0.9273
 
1.3%
1199
 
1.0%
1.1172
 
0.8%
Other values (196)1667
 
8.2%
(Missing)14566
71.6%
ValueCountFrequency (%)
0.188
 
0.4%
0.2394
1.9%
0.3631
3.1%
0.4618
3.0%
0.451
 
< 0.1%
0.5596
2.9%
0.6488
2.4%
0.7417
2.1%
0.8315
1.5%
0.9273
1.3%
ValueCountFrequency (%)
45.91
< 0.1%
44.91
< 0.1%
44.11
< 0.1%
43.51
< 0.1%
43.21
< 0.1%
40.61
< 0.1%
40.12
< 0.1%
38.71
< 0.1%
36.31
< 0.1%
34.71
< 0.1%

Bilirubin_total-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct240
Distinct (%)4.2%
Missing14566
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.9555026
Minimum0.1
Maximum46.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:23.325253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.7
Q31.5
95-th percentile7.8
Maximum46.6
Range46.5
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation4.244483696
Coefficient of variation (CV)2.170533395
Kurtosis39.29864828
Mean1.9555026
Median Absolute Deviation (MAD)0.4
Skewness5.637871326
Sum11283.25
Variance18.01564184
MonotonicityNot monotonic
2021-11-29T11:30:23.421264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3549
 
2.7%
0.5546
 
2.7%
0.4538
 
2.6%
0.6457
 
2.2%
0.7420
 
2.1%
0.8348
 
1.7%
0.2325
 
1.6%
0.9274
 
1.3%
1218
 
1.1%
1.1182
 
0.9%
Other values (230)1913
 
9.4%
(Missing)14566
71.6%
ValueCountFrequency (%)
0.159
 
0.3%
0.2325
1.6%
0.3549
2.7%
0.4538
2.6%
0.5546
2.7%
0.6457
2.2%
0.7420
2.1%
0.8348
1.7%
0.9274
1.3%
1218
 
1.1%
ValueCountFrequency (%)
46.61
< 0.1%
46.51
< 0.1%
45.91
< 0.1%
44.61
< 0.1%
44.31
< 0.1%
44.11
< 0.1%
43.71
< 0.1%
43.21
< 0.1%
42.41
< 0.1%
40.91
< 0.1%

Bilirubin_total-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct662
Distinct (%)11.5%
Missing14566
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.760810069
Minimum0.1
Maximum45.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:23.518277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.7
Q31.366666667
95-th percentile6.571
Maximum45.9
Range45.8
Interquartile range (IQR)0.9666666667

Descriptive statistics

Standard deviation3.840258073
Coefficient of variation (CV)2.180960992
Kurtosis44.17062061
Mean1.760810069
Median Absolute Deviation (MAD)0.35
Skewness5.964460236
Sum10159.8741
Variance14.74758207
MonotonicityNot monotonic
2021-11-29T11:30:23.616083image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3496
 
2.4%
0.5487
 
2.4%
0.4477
 
2.3%
0.6390
 
1.9%
0.7352
 
1.7%
0.2308
 
1.5%
0.8286
 
1.4%
0.9224
 
1.1%
1175
 
0.9%
1.1122
 
0.6%
Other values (652)2453
 
12.1%
(Missing)14566
71.6%
ValueCountFrequency (%)
0.159
 
0.3%
0.1251
 
< 0.1%
0.13333333334
 
< 0.1%
0.1511
 
0.1%
0.16666666672
 
< 0.1%
0.21
 
< 0.1%
0.2308
1.5%
0.22
 
< 0.1%
0.221
 
< 0.1%
0.2251
 
< 0.1%
ValueCountFrequency (%)
45.91
< 0.1%
45.751
< 0.1%
44.966666671
< 0.1%
44.11
< 0.1%
43.21
< 0.1%
42.351
< 0.1%
40.751
< 0.1%
40.151
< 0.1%
40.033333331
< 0.1%
36.31
< 0.1%

Bilirubin_total-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct360
Distinct (%)6.2%
Missing14566
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.752551993
Minimum0.1
Maximum45.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:23.714906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.7
Q31.35
95-th percentile6.5
Maximum45.9
Range45.8
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation3.848280915
Coefficient of variation (CV)2.195815548
Kurtosis44.52482792
Mean1.752551993
Median Absolute Deviation (MAD)0.35
Skewness5.996750738
Sum10112.225
Variance14.809266
MonotonicityNot monotonic
2021-11-29T11:30:23.912119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3522
 
2.6%
0.4520
 
2.6%
0.5509
 
2.5%
0.6420
 
2.1%
0.7381
 
1.9%
0.2322
 
1.6%
0.8307
 
1.5%
0.9239
 
1.2%
1189
 
0.9%
1.1142
 
0.7%
Other values (350)2219
 
10.9%
(Missing)14566
71.6%
ValueCountFrequency (%)
0.165
 
0.3%
0.1511
 
0.1%
0.2322
1.6%
0.2543
 
0.2%
0.3522
2.6%
0.38
 
< 0.1%
0.3547
 
0.2%
0.4520
2.6%
0.457
 
< 0.1%
0.4558
 
0.3%
ValueCountFrequency (%)
45.91
< 0.1%
45.751
< 0.1%
44.91
< 0.1%
44.11
< 0.1%
43.21
< 0.1%
42.351
< 0.1%
40.751
< 0.1%
40.151
< 0.1%
39.61
< 0.1%
391
< 0.1%

TroponinI-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct182
Distinct (%)37.2%
Missing19847
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean7.40204499
Minimum0.3
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:24.009545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.3
Q10.7
median2.4
Q39.9
95-th percentile32.12
Maximum48
Range47.7
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation10.40468427
Coefficient of variation (CV)1.405649964
Kurtosis3.102736102
Mean7.40204499
Median Absolute Deviation (MAD)2
Skewness1.917343008
Sum3619.6
Variance108.2574548
MonotonicityNot monotonic
2021-11-29T11:30:24.112081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.344
 
0.2%
0.430
 
0.1%
0.525
 
0.1%
0.823
 
0.1%
0.621
 
0.1%
0.718
 
0.1%
115
 
0.1%
0.911
 
0.1%
1.27
 
< 0.1%
10.77
 
< 0.1%
Other values (172)288
 
1.4%
(Missing)19847
97.6%
ValueCountFrequency (%)
0.344
0.2%
0.430
0.1%
0.525
0.1%
0.621
0.1%
0.718
0.1%
0.823
0.1%
0.911
 
0.1%
115
 
0.1%
1.16
 
< 0.1%
1.27
 
< 0.1%
ValueCountFrequency (%)
481
< 0.1%
46.51
< 0.1%
452
< 0.1%
44.81
< 0.1%
44.21
< 0.1%
43.51
< 0.1%
42.91
< 0.1%
41.51
< 0.1%
411
< 0.1%
39.91
< 0.1%

TroponinI-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct214
Distinct (%)43.8%
Missing19847
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean10.43271984
Minimum0.3
Maximum49.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:24.212252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.4
Q10.9
median4.2
Q315.4
95-th percentile41.3
Maximum49.3
Range49
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation12.94786966
Coefficient of variation (CV)1.24108285
Kurtosis1.077420411
Mean10.43271984
Median Absolute Deviation (MAD)3.7
Skewness1.445003395
Sum5101.6
Variance167.6473289
MonotonicityNot monotonic
2021-11-29T11:30:24.313585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.522
 
0.1%
0.322
 
0.1%
0.821
 
0.1%
0.421
 
0.1%
0.617
 
0.1%
0.715
 
0.1%
0.911
 
0.1%
111
 
0.1%
1.18
 
< 0.1%
1.28
 
< 0.1%
Other values (204)333
 
1.6%
(Missing)19847
97.6%
ValueCountFrequency (%)
0.322
0.1%
0.421
0.1%
0.522
0.1%
0.617
0.1%
0.715
0.1%
0.821
0.1%
0.911
0.1%
111
0.1%
1.18
 
< 0.1%
1.28
 
< 0.1%
ValueCountFrequency (%)
49.31
< 0.1%
491
< 0.1%
48.71
< 0.1%
48.52
< 0.1%
482
< 0.1%
47.11
< 0.1%
46.51
< 0.1%
461
< 0.1%
45.21
< 0.1%
45.11
< 0.1%

TroponinI-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct305
Distinct (%)62.4%
Missing19847
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean8.906701104
Minimum0.3
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:24.411330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.3566666667
Q10.8
median3.55
Q312.5
95-th percentile35.84
Maximum48
Range47.7
Interquartile range (IQR)11.7

Descriptive statistics

Standard deviation11.37407288
Coefficient of variation (CV)1.277024203
Kurtosis1.640371742
Mean8.906701104
Median Absolute Deviation (MAD)3.05
Skewness1.58091301
Sum4355.37684
Variance129.3695339
MonotonicityNot monotonic
2021-11-29T11:30:24.513643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.524
 
0.1%
0.322
 
0.1%
0.420
 
0.1%
0.817
 
0.1%
0.612
 
0.1%
0.711
 
0.1%
19
 
< 0.1%
1.16
 
< 0.1%
1.156
 
< 0.1%
0.95
 
< 0.1%
Other values (295)357
 
1.8%
(Missing)19847
97.6%
ValueCountFrequency (%)
0.322
0.1%
0.353
 
< 0.1%
0.36666666671
 
< 0.1%
0.420
0.1%
0.4251
 
< 0.1%
0.451
 
< 0.1%
0.452
 
< 0.1%
0.46666666672
 
< 0.1%
0.524
0.1%
0.53333333332
 
< 0.1%
ValueCountFrequency (%)
481
< 0.1%
46.51
< 0.1%
461
< 0.1%
452
< 0.1%
44.81
< 0.1%
44.21
< 0.1%
42.91
< 0.1%
421
< 0.1%
41.51
< 0.1%
411
< 0.1%

TroponinI-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct254
Distinct (%)51.9%
Missing19847
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean8.897239264
Minimum0.3
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:24.611622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.35
Q10.8
median3.4
Q312.7
95-th percentile36.54
Maximum48
Range47.7
Interquartile range (IQR)11.9

Descriptive statistics

Standard deviation11.46288056
Coefficient of variation (CV)1.288363752
Kurtosis1.758906915
Mean8.897239264
Median Absolute Deviation (MAD)2.95
Skewness1.606216678
Sum4350.75
Variance131.3976307
MonotonicityNot monotonic
2021-11-29T11:30:24.712039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.525
 
0.1%
0.423
 
0.1%
0.323
 
0.1%
0.821
 
0.1%
0.613
 
0.1%
0.712
 
0.1%
18
 
< 0.1%
1.27
 
< 0.1%
0.97
 
< 0.1%
1.156
 
< 0.1%
Other values (244)344
 
1.7%
(Missing)19847
97.6%
ValueCountFrequency (%)
0.323
0.1%
0.353
 
< 0.1%
0.423
0.1%
0.451
 
< 0.1%
0.453
 
< 0.1%
0.525
0.1%
0.552
 
< 0.1%
0.613
0.1%
0.651
 
< 0.1%
0.712
0.1%
ValueCountFrequency (%)
481
< 0.1%
47.51
< 0.1%
46.51
< 0.1%
461
< 0.1%
452
< 0.1%
44.81
< 0.1%
44.21
< 0.1%
42.91
< 0.1%
42.51
< 0.1%
42.21
< 0.1%

Hct-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct485
Distinct (%)2.4%
Missing364
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean29.55105848
Minimum5.5
Maximum66.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:24.810871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile21.8
Q125.7
median29
Q333
95-th percentile39.1
Maximum66.2
Range60.7
Interquartile range (IQR)7.3

Descriptive statistics

Standard deviation5.415361492
Coefficient of variation (CV)0.1832544
Kurtosis0.4366050879
Mean29.55105848
Median Absolute Deviation (MAD)3.6
Skewness0.4137097912
Sum590193.74
Variance29.32614009
MonotonicityNot monotonic
2021-11-29T11:30:24.904825image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26285
 
1.4%
28228
 
1.1%
27226
 
1.1%
25219
 
1.1%
29199
 
1.0%
30199
 
1.0%
24191
 
0.9%
23190
 
0.9%
26.5161
 
0.8%
27.8161
 
0.8%
Other values (475)17913
88.1%
(Missing)364
 
1.8%
ValueCountFrequency (%)
5.51
< 0.1%
71
< 0.1%
8.81
< 0.1%
9.41
< 0.1%
9.71
< 0.1%
10.31
< 0.1%
111
< 0.1%
11.51
< 0.1%
12.11
< 0.1%
12.21
< 0.1%
ValueCountFrequency (%)
66.21
< 0.1%
61.71
< 0.1%
60.32
< 0.1%
56.11
< 0.1%
55.31
< 0.1%
54.81
< 0.1%
54.11
< 0.1%
541
< 0.1%
53.82
< 0.1%
531
< 0.1%

Hct-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct407
Distinct (%)2.0%
Missing364
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean33.67926747
Minimum11
Maximum71.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:25.003326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile26.8
Q130.4
median33.2
Q336.5
95-th percentile42
Maximum71.7
Range60.7
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation4.711327099
Coefficient of variation (CV)0.1398880514
Kurtosis1.049059462
Mean33.67926747
Median Absolute Deviation (MAD)3
Skewness0.5834176548
Sum672642.33
Variance22.19660303
MonotonicityNot monotonic
2021-11-29T11:30:25.095493image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32370
 
1.8%
34315
 
1.5%
35301
 
1.5%
33300
 
1.5%
31269
 
1.3%
36259
 
1.3%
30243
 
1.2%
37229
 
1.1%
38224
 
1.1%
29206
 
1.0%
Other values (397)17256
84.9%
(Missing)364
 
1.8%
ValueCountFrequency (%)
111
< 0.1%
12.51
< 0.1%
15.81
< 0.1%
16.81
< 0.1%
18.41
< 0.1%
18.91
< 0.1%
19.11
< 0.1%
19.52
< 0.1%
19.61
< 0.1%
19.81
< 0.1%
ValueCountFrequency (%)
71.71
< 0.1%
64.61
< 0.1%
61.81
< 0.1%
61.71
< 0.1%
611
< 0.1%
60.51
< 0.1%
58.81
< 0.1%
581
< 0.1%
56.41
< 0.1%
56.32
< 0.1%

Hct-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct5008
Distinct (%)25.1%
Missing364
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean31.63387892
Minimum10.25
Maximum68.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:25.192994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.25
5-th percentile25.20423077
Q128.35
median31
Q334.46666667
95-th percentile40.1
Maximum68.04
Range57.79
Interquartile range (IQR)6.116666667

Descriptive statistics

Standard deviation4.612103956
Coefficient of variation (CV)0.145796346
Kurtosis0.9954907795
Mean31.63387892
Median Absolute Deviation (MAD)2.966666667
Skewness0.6914464824
Sum631791.8298
Variance21.2715029
MonotonicityNot monotonic
2021-11-29T11:30:25.285820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.572
 
0.4%
31.572
 
0.4%
3571
 
0.3%
3071
 
0.3%
3169
 
0.3%
2968
 
0.3%
30.566
 
0.3%
32.165
 
0.3%
33.463
 
0.3%
32.562
 
0.3%
Other values (4998)19293
94.9%
(Missing)364
 
1.8%
ValueCountFrequency (%)
10.251
< 0.1%
11.861
< 0.1%
14.833333331
< 0.1%
16.11
< 0.1%
16.81
< 0.1%
17.466666671
< 0.1%
18.251
< 0.1%
18.366666671
< 0.1%
18.41
< 0.1%
18.51
< 0.1%
ValueCountFrequency (%)
68.041
< 0.1%
62.451
< 0.1%
61.71
< 0.1%
61.051
< 0.1%
581
< 0.1%
56.38751
< 0.1%
56.11
< 0.1%
55.851
< 0.1%
55.533333331
< 0.1%
54.751
< 0.1%

Hct-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct841
Distinct (%)4.2%
Missing364
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean31.65418962
Minimum10.15
Maximum66.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:25.382875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.15
5-th percentile25.1
Q128.35
median31
Q334.5
95-th percentile40.1
Maximum66.4
Range56.25
Interquartile range (IQR)6.15

Descriptive statistics

Standard deviation4.638895848
Coefficient of variation (CV)0.14654919
Kurtosis0.9451377878
Mean31.65418962
Median Absolute Deviation (MAD)3
Skewness0.6595302332
Sum632197.475
Variance21.51935469
MonotonicityNot monotonic
2021-11-29T11:30:25.571741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29218
 
1.1%
31194
 
1.0%
30191
 
0.9%
32180
 
0.9%
30.5164
 
0.8%
28164
 
0.8%
31.1158
 
0.8%
27155
 
0.8%
28.1154
 
0.8%
31.5150
 
0.7%
Other values (831)18244
89.7%
(Missing)364
 
1.8%
ValueCountFrequency (%)
10.151
< 0.1%
121
< 0.1%
14.41
< 0.1%
14.551
< 0.1%
16.81
< 0.1%
16.91
< 0.1%
17.751
< 0.1%
18.251
< 0.1%
18.31
< 0.1%
18.41
< 0.1%
ValueCountFrequency (%)
66.41
< 0.1%
62.451
< 0.1%
61.71
< 0.1%
61.051
< 0.1%
58.21
< 0.1%
56.11
< 0.1%
55.851
< 0.1%
55.32
< 0.1%
54.751
< 0.1%
54.51
< 0.1%

Hgb-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct205
Distinct (%)1.0%
Missing507
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean10.16811286
Minimum2.2
Maximum20.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:25.668869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile7.5
Q18.9
median10
Q311.3
95-th percentile13.5
Maximum20.3
Range18.1
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.844816211
Coefficient of variation (CV)0.1814315238
Kurtosis0.2644858416
Mean10.16811286
Median Absolute Deviation (MAD)1.2
Skewness0.3964761228
Sum201623.51
Variance3.403346852
MonotonicityNot monotonic
2021-11-29T11:30:25.767088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8481
 
2.4%
9.4469
 
2.3%
9.7464
 
2.3%
9.2460
 
2.3%
9.5450
 
2.2%
10440
 
2.2%
9.6426
 
2.1%
9422
 
2.1%
9.3421
 
2.1%
9.9421
 
2.1%
Other values (195)15375
75.6%
(Missing)507
 
2.5%
ValueCountFrequency (%)
2.21
 
< 0.1%
3.11
 
< 0.1%
3.22
< 0.1%
41
 
< 0.1%
4.051
 
< 0.1%
4.12
< 0.1%
4.22
< 0.1%
4.33
< 0.1%
4.41
 
< 0.1%
4.52
< 0.1%
ValueCountFrequency (%)
20.31
 
< 0.1%
19.32
< 0.1%
19.11
 
< 0.1%
18.61
 
< 0.1%
18.41
 
< 0.1%
182
< 0.1%
17.41
 
< 0.1%
17.13
< 0.1%
171
 
< 0.1%
16.92
< 0.1%

Hgb-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct184
Distinct (%)0.9%
Missing507
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean11.34229311
Minimum3.5
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:25.871670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile8.8
Q110.2
median11.2
Q312.4
95-th percentile14.4
Maximum32
Range28.5
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation1.700859441
Coefficient of variation (CV)0.1499572816
Kurtosis1.527280706
Mean11.34229311
Median Absolute Deviation (MAD)1.1
Skewness0.5419012209
Sum224906.33
Variance2.892922838
MonotonicityNot monotonic
2021-11-29T11:30:25.963338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11522
 
2.6%
10.7505
 
2.5%
11.1504
 
2.5%
10.9496
 
2.4%
11.3495
 
2.4%
10.5493
 
2.4%
11.2484
 
2.4%
10.6482
 
2.4%
10.8465
 
2.3%
11.4462
 
2.3%
Other values (174)14921
73.4%
(Missing)507
 
2.5%
ValueCountFrequency (%)
3.51
< 0.1%
4.41
< 0.1%
5.41
< 0.1%
5.61
< 0.1%
5.71
< 0.1%
61
< 0.1%
6.21
< 0.1%
6.32
< 0.1%
6.42
< 0.1%
6.52
< 0.1%
ValueCountFrequency (%)
321
< 0.1%
22.11
< 0.1%
20.31
< 0.1%
19.61
< 0.1%
19.51
< 0.1%
19.41
< 0.1%
19.31
< 0.1%
18.81
< 0.1%
18.71
< 0.1%
18.61
< 0.1%

Hgb-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2355
Distinct (%)11.9%
Missing507
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean10.75987035
Minimum3.325
Maximum20.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:26.062423image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.325
5-th percentile8.4
Q19.6
median10.55
Q311.75
95-th percentile13.8
Maximum20.96
Range17.635
Interquartile range (IQR)2.15

Descriptive statistics

Standard deviation1.637669715
Coefficient of variation (CV)0.1522016215
Kurtosis0.5062771099
Mean10.75987035
Median Absolute Deviation (MAD)1.05
Skewness0.5812765727
Sum213357.4692
Variance2.681962094
MonotonicityNot monotonic
2021-11-29T11:30:26.162564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5247
 
1.2%
10225
 
1.1%
10.6204
 
1.0%
9.6199
 
1.0%
10.9199
 
1.0%
10.3196
 
1.0%
9.5195
 
1.0%
9.8194
 
1.0%
9.9193
 
0.9%
11.1191
 
0.9%
Other values (2345)17786
87.5%
(Missing)507
 
2.5%
ValueCountFrequency (%)
3.3251
< 0.1%
4.1751
< 0.1%
5.42
< 0.1%
5.61
< 0.1%
5.91
< 0.1%
61
< 0.1%
6.0251
< 0.1%
6.051
< 0.1%
6.151
< 0.1%
6.21
< 0.1%
ValueCountFrequency (%)
20.961
< 0.1%
19.81
< 0.1%
19.32
< 0.1%
18.81
< 0.1%
18.61
< 0.1%
18.451
< 0.1%
18.051
< 0.1%
17.951
< 0.1%
17.61
< 0.1%
17.51
< 0.1%

Hgb-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct393
Distinct (%)2.0%
Missing507
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean10.76507539
Minimum3.3
Maximum20.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:26.269313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile8.4
Q19.6
median10.6
Q311.75
95-th percentile13.8
Maximum20.3
Range17
Interquartile range (IQR)2.15

Descriptive statistics

Standard deviation1.649797292
Coefficient of variation (CV)0.1532545971
Kurtosis0.4726858849
Mean10.76507539
Median Absolute Deviation (MAD)1.05
Skewness0.5523234009
Sum213460.68
Variance2.721831106
MonotonicityNot monotonic
2021-11-29T11:30:26.367387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5418
 
2.1%
10412
 
2.0%
10.2401
 
2.0%
10.3399
 
2.0%
9.8388
 
1.9%
9.7380
 
1.9%
10.8372
 
1.8%
10.1365
 
1.8%
10.7360
 
1.8%
10.6354
 
1.7%
Other values (383)15980
78.6%
(Missing)507
 
2.5%
ValueCountFrequency (%)
3.31
< 0.1%
4.151
< 0.1%
5.42
< 0.1%
5.61
< 0.1%
5.81
< 0.1%
61
< 0.1%
6.0251
< 0.1%
6.051
< 0.1%
6.12
< 0.1%
6.1751
< 0.1%
ValueCountFrequency (%)
20.31
< 0.1%
19.81
< 0.1%
19.32
< 0.1%
18.62
< 0.1%
18.451
< 0.1%
18.051
< 0.1%
17.951
< 0.1%
17.71
< 0.1%
17.62
< 0.1%
17.451
< 0.1%

PTT-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct688
Distinct (%)4.3%
Missing4496
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean31.89517109
Minimum12.5
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:26.470575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12.5
5-th percentile22.3
Q125.9
median29.1
Q333.9
95-th percentile50.7
Maximum150
Range137.5
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11.61275924
Coefficient of variation (CV)0.3640914548
Kurtosis32.60193918
Mean31.89517109
Median Absolute Deviation (MAD)3.7
Skewness4.498845459
Sum505219.51
Variance134.8561772
MonotonicityNot monotonic
2021-11-29T11:30:26.564814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.7155
 
0.8%
27.6145
 
0.7%
28.1140
 
0.7%
27136
 
0.7%
28.5135
 
0.7%
26.7133
 
0.7%
28.6133
 
0.7%
26.2133
 
0.7%
28.7132
 
0.6%
26.6131
 
0.6%
Other values (678)14467
71.1%
(Missing)4496
 
22.1%
ValueCountFrequency (%)
12.51
 
< 0.1%
16.61
 
< 0.1%
17.13
< 0.1%
17.21
 
< 0.1%
17.31
 
< 0.1%
17.41
 
< 0.1%
17.51
 
< 0.1%
17.92
< 0.1%
18.13
< 0.1%
18.23
< 0.1%
ValueCountFrequency (%)
15034
0.2%
145.91
 
< 0.1%
143.71
 
< 0.1%
142.11
 
< 0.1%
1391
 
< 0.1%
137.81
 
< 0.1%
135.31
 
< 0.1%
1311
 
< 0.1%
127.91
 
< 0.1%
127.21
 
< 0.1%

PTT-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1136
Distinct (%)7.2%
Missing4496
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean42.74270896
Minimum17.1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:26.665148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum17.1
5-th percentile23.4
Q127.7
median32.4
Q343
95-th percentile114.905
Maximum150
Range132.9
Interquartile range (IQR)15.3

Descriptive statistics

Standard deviation28.25780232
Coefficient of variation (CV)0.6611139772
Kurtosis6.122138596
Mean42.74270896
Median Absolute Deviation (MAD)6
Skewness2.545713447
Sum677044.51
Variance798.5033919
MonotonicityNot monotonic
2021-11-29T11:30:26.764540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150511
 
2.5%
27.7112
 
0.6%
27.6106
 
0.5%
28.1105
 
0.5%
29.3104
 
0.5%
28.6103
 
0.5%
28.2101
 
0.5%
29.2100
 
0.5%
28.8100
 
0.5%
2799
 
0.5%
Other values (1126)14399
70.8%
(Missing)4496
 
22.1%
ValueCountFrequency (%)
17.11
 
< 0.1%
17.21
 
< 0.1%
17.31
 
< 0.1%
18.11
 
< 0.1%
18.21
 
< 0.1%
18.42
< 0.1%
18.53
< 0.1%
18.61
 
< 0.1%
18.74
< 0.1%
18.83
< 0.1%
ValueCountFrequency (%)
150511
2.5%
149.91
 
< 0.1%
149.81
 
< 0.1%
148.91
 
< 0.1%
148.82
 
< 0.1%
148.71
 
< 0.1%
148.31
 
< 0.1%
148.21
 
< 0.1%
1481
 
< 0.1%
147.71
 
< 0.1%

PTT-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct4027
Distinct (%)25.4%
Missing4496
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean36.56864135
Minimum17.1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:26.861850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum17.1
5-th percentile23.1
Q127.1
median31.15
Q338.6
95-th percentile72.55166667
Maximum150
Range132.9
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation16.72308365
Coefficient of variation (CV)0.4573066714
Kurtosis9.733848023
Mean36.56864135
Median Absolute Deviation (MAD)5
Skewness2.74209416
Sum579247.279
Variance279.6615269
MonotonicityNot monotonic
2021-11-29T11:30:26.962633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.583
 
0.4%
27.683
 
0.4%
2779
 
0.4%
2878
 
0.4%
29.377
 
0.4%
28.176
 
0.4%
27.775
 
0.4%
28.674
 
0.4%
29.573
 
0.4%
28.372
 
0.4%
Other values (4017)15070
74.1%
(Missing)4496
 
22.1%
ValueCountFrequency (%)
17.11
< 0.1%
17.21
< 0.1%
17.31
< 0.1%
17.651
< 0.1%
18.11
< 0.1%
18.251
< 0.1%
18.42
< 0.1%
18.451
< 0.1%
18.52
< 0.1%
18.62
< 0.1%
ValueCountFrequency (%)
15034
0.2%
145.91
 
< 0.1%
145.451
 
< 0.1%
143.71
 
< 0.1%
142.11
 
< 0.1%
140.61
 
< 0.1%
1391
 
< 0.1%
137.81
 
< 0.1%
137.31
 
< 0.1%
137.151
 
< 0.1%

PTT-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1709
Distinct (%)10.8%
Missing4496
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean35.82851452
Minimum16.9
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:27.061165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum16.9
5-th percentile23.1
Q127
median30.9
Q337.6
95-th percentile68.2
Maximum150
Range133.1
Interquartile range (IQR)10.6

Descriptive statistics

Standard deviation16.43467255
Coefficient of variation (CV)0.4587037104
Kurtosis13.90541029
Mean35.82851452
Median Absolute Deviation (MAD)4.7
Skewness3.226363629
Sum567523.67
Variance270.0984618
MonotonicityNot monotonic
2021-11-29T11:30:27.262636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.7100
 
0.5%
27.6100
 
0.5%
26.597
 
0.5%
28.196
 
0.5%
28.696
 
0.5%
2895
 
0.5%
29.393
 
0.5%
29.592
 
0.5%
28.991
 
0.4%
26.491
 
0.4%
Other values (1699)14889
73.2%
(Missing)4496
 
22.1%
ValueCountFrequency (%)
16.91
< 0.1%
17.11
< 0.1%
17.21
< 0.1%
17.31
< 0.1%
17.651
< 0.1%
18.11
< 0.1%
18.251
< 0.1%
18.42
< 0.1%
18.451
< 0.1%
18.52
< 0.1%
ValueCountFrequency (%)
15052
0.3%
148.41
 
< 0.1%
147.61
 
< 0.1%
1472
 
< 0.1%
145.91
 
< 0.1%
145.51
 
< 0.1%
144.21
 
< 0.1%
144.11
 
< 0.1%
143.71
 
< 0.1%
142.11
 
< 0.1%

WBC-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct429
Distinct (%)2.2%
Missing625
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean10.40438385
Minimum0.1
Maximum201.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:27.365087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile4.3
Q17.2
median9.6
Q312.5
95-th percentile18.5
Maximum201.6
Range201.5
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation5.88137598
Coefficient of variation (CV)0.5652786428
Kurtosis174.8237677
Mean10.40438385
Median Absolute Deviation (MAD)2.6
Skewness8.145523781
Sum205080.81
Variance34.59058341
MonotonicityNot monotonic
2021-11-29T11:30:27.466564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.5229
 
1.1%
9.4225
 
1.1%
8219
 
1.1%
9.3217
 
1.1%
7.2216
 
1.1%
8.9215
 
1.1%
7.7214
 
1.1%
8.8213
 
1.0%
8.4213
 
1.0%
7.4213
 
1.0%
Other values (419)17537
86.2%
(Missing)625
 
3.1%
ValueCountFrequency (%)
0.114
0.1%
0.210
< 0.1%
0.36
< 0.1%
0.46
< 0.1%
0.52
 
< 0.1%
0.64
 
< 0.1%
0.74
 
< 0.1%
0.81
 
< 0.1%
0.95
 
< 0.1%
18
< 0.1%
ValueCountFrequency (%)
201.61
< 0.1%
180.41
< 0.1%
168.61
< 0.1%
128.31
< 0.1%
126.21
< 0.1%
124.41
< 0.1%
120.51
< 0.1%
119.91
< 0.1%
116.51
< 0.1%
97.11
< 0.1%

WBC-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct532
Distinct (%)2.7%
Missing625
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean13.24228705
Minimum0.1
Maximum422.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:27.573367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile5.5
Q19
median12.1
Q315.9
95-th percentile24.2
Maximum422.9
Range422.8
Interquartile range (IQR)6.9

Descriptive statistics

Standard deviation7.949554985
Coefficient of variation (CV)0.6003158636
Kurtosis445.6163799
Mean13.24228705
Median Absolute Deviation (MAD)3.4
Skewness12.18112024
Sum261018.72
Variance63.19542446
MonotonicityNot monotonic
2021-11-29T11:30:27.666915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.6195
 
1.0%
11.5186
 
0.9%
10.7186
 
0.9%
9.5180
 
0.9%
9.8180
 
0.9%
11.2176
 
0.9%
10.2173
 
0.9%
10.3173
 
0.9%
11.8172
 
0.8%
10.4168
 
0.8%
Other values (522)17922
88.1%
(Missing)625
 
3.1%
ValueCountFrequency (%)
0.16
< 0.1%
0.210
< 0.1%
0.36
< 0.1%
0.42
 
< 0.1%
0.52
 
< 0.1%
0.63
 
< 0.1%
0.74
 
< 0.1%
0.83
 
< 0.1%
0.91
 
< 0.1%
11
 
< 0.1%
ValueCountFrequency (%)
422.91
< 0.1%
224.91
< 0.1%
222.81
< 0.1%
170.31
< 0.1%
168.61
< 0.1%
137.81
< 0.1%
128.71
< 0.1%
126.21
< 0.1%
125.71
< 0.1%
123.11
< 0.1%

WBC-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3287
Distinct (%)16.7%
Missing625
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean11.76131034
Minimum0.1
Maximum305.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:27.764762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile5.05
Q18.25
median10.875
Q314
95-th percentile20.6
Maximum305.75
Range305.65
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation6.61279845
Coefficient of variation (CV)0.5622501453
Kurtosis302.681305
Mean11.76131034
Median Absolute Deviation (MAD)2.85
Skewness10.36808671
Sum231827.1882
Variance43.72910335
MonotonicityNot monotonic
2021-11-29T11:30:27.858262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.9107
 
0.5%
10106
 
0.5%
9.5106
 
0.5%
10.2101
 
0.5%
10.3101
 
0.5%
9100
 
0.5%
8.6100
 
0.5%
899
 
0.5%
8.498
 
0.5%
9.197
 
0.5%
Other values (3277)18696
91.9%
(Missing)625
 
3.1%
ValueCountFrequency (%)
0.14
< 0.1%
0.12
 
< 0.1%
0.151
 
< 0.1%
0.151
 
< 0.1%
0.16666666671
 
< 0.1%
0.28
< 0.1%
0.21
 
< 0.1%
0.23333333331
 
< 0.1%
0.251
 
< 0.1%
0.32
 
< 0.1%
ValueCountFrequency (%)
305.751
< 0.1%
203.16666671
< 0.1%
168.61
< 0.1%
151.76666671
< 0.1%
147.17142861
< 0.1%
134.2251
< 0.1%
126.21
< 0.1%
120.51
< 0.1%
119.91
< 0.1%
116.51
< 0.1%

WBC-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct984
Distinct (%)5.0%
Missing625
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean11.69814266
Minimum0.1
Maximum319.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:27.957991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile5
Q18.2
median10.8
Q313.95
95-th percentile20.6
Maximum319.25
Range319.15
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation6.675437823
Coefficient of variation (CV)0.5706408287
Kurtosis334.9965445
Mean11.69814266
Median Absolute Deviation (MAD)2.85
Skewness10.89622191
Sum230582.09
Variance44.56147013
MonotonicityNot monotonic
2021-11-29T11:30:28.051402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.3181
 
0.9%
9.8161
 
0.8%
10.2159
 
0.8%
9159
 
0.8%
10157
 
0.8%
11.2155
 
0.8%
10.7154
 
0.8%
9.2151
 
0.7%
8.5149
 
0.7%
9.7147
 
0.7%
Other values (974)18138
89.2%
(Missing)625
 
3.1%
ValueCountFrequency (%)
0.17
< 0.1%
0.151
 
< 0.1%
0.211
0.1%
0.251
 
< 0.1%
0.32
 
< 0.1%
0.44
 
< 0.1%
0.452
 
< 0.1%
0.52
 
< 0.1%
0.551
 
< 0.1%
0.63
 
< 0.1%
ValueCountFrequency (%)
319.251
< 0.1%
206.31
< 0.1%
168.61
< 0.1%
160.61
< 0.1%
150.41
< 0.1%
135.41
< 0.1%
126.21
< 0.1%
120.51
< 0.1%
119.91
< 0.1%
116.51
< 0.1%

Fibrinogen-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct644
Distinct (%)25.1%
Missing17769
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean292.9410206
Minimum34
Maximum1383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:28.149240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile105.3
Q1176
median242
Q3367
95-th percentile648
Maximum1383
Range1349
Interquartile range (IQR)191

Descriptive statistics

Standard deviation169.5769129
Coefficient of variation (CV)0.5788773199
Kurtosis2.436807156
Mean292.9410206
Median Absolute Deviation (MAD)85
Skewness1.427978388
Sum751979.6
Variance28756.3294
MonotonicityNot monotonic
2021-11-29T11:30:28.251290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21719
 
0.1%
21418
 
0.1%
15117
 
0.1%
18517
 
0.1%
20215
 
0.1%
18315
 
0.1%
21014
 
0.1%
20314
 
0.1%
24214
 
0.1%
18014
 
0.1%
Other values (634)2410
 
11.9%
(Missing)17769
87.4%
ValueCountFrequency (%)
341
 
< 0.1%
351
 
< 0.1%
501
 
< 0.1%
521
 
< 0.1%
52.51
 
< 0.1%
561
 
< 0.1%
581
 
< 0.1%
595
< 0.1%
601
 
< 0.1%
611
 
< 0.1%
ValueCountFrequency (%)
13831
< 0.1%
12461
< 0.1%
11611
< 0.1%
10301
< 0.1%
9761
< 0.1%
9601
< 0.1%
9561
< 0.1%
9461
< 0.1%
9101
< 0.1%
9041
< 0.1%

Fibrinogen-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct650
Distinct (%)25.3%
Missing17769
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean330.9836774
Minimum52.5
Maximum1760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:28.352518image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum52.5
5-th percentile133.3
Q1203
median286
Q3416
95-th percentile676
Maximum1760
Range1707.5
Interquartile range (IQR)213

Descriptive statistics

Standard deviation175.8937644
Coefficient of variation (CV)0.5314273071
Kurtosis3.366347057
Mean330.9836774
Median Absolute Deviation (MAD)96
Skewness1.434675366
Sum849635.1
Variance30938.61635
MonotonicityNot monotonic
2021-11-29T11:30:28.448302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21417
 
0.1%
18515
 
0.1%
21615
 
0.1%
21014
 
0.1%
23314
 
0.1%
18313
 
0.1%
28013
 
0.1%
21712
 
0.1%
20312
 
0.1%
21512
 
0.1%
Other values (640)2430
 
11.9%
(Missing)17769
87.4%
ValueCountFrequency (%)
52.51
< 0.1%
581
< 0.1%
631
< 0.1%
651
< 0.1%
762
< 0.1%
811
< 0.1%
821
< 0.1%
852
< 0.1%
871
< 0.1%
881
< 0.1%
ValueCountFrequency (%)
17601
< 0.1%
13831
< 0.1%
12461
< 0.1%
11611
< 0.1%
10761
< 0.1%
10302
< 0.1%
9941
< 0.1%
9791
< 0.1%
9761
< 0.1%
9601
< 0.1%

Fibrinogen-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1108
Distinct (%)43.2%
Missing17769
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean311.7025739
Minimum52.5
Maximum1383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:28.549279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum52.5
5-th percentile125.8833333
Q1193.3166667
median264
Q3386.5
95-th percentile654.85
Maximum1383
Range1330.5
Interquartile range (IQR)193.1833333

Descriptive statistics

Standard deviation167.4443938
Coefficient of variation (CV)0.5371928493
Kurtosis2.662096449
Mean311.7025739
Median Absolute Deviation (MAD)85
Skewness1.44842109
Sum800140.5073
Variance28037.62502
MonotonicityNot monotonic
2021-11-29T11:30:28.651042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21414
 
0.1%
22212
 
0.1%
15112
 
0.1%
23912
 
0.1%
18512
 
0.1%
21712
 
0.1%
20211
 
0.1%
16311
 
0.1%
21611
 
0.1%
24811
 
0.1%
Other values (1098)2449
 
12.0%
(Missing)17769
87.4%
ValueCountFrequency (%)
52.51
< 0.1%
581
< 0.1%
631
< 0.1%
64.916666671
< 0.1%
651
< 0.1%
75.3751
< 0.1%
75.751
< 0.1%
762
< 0.1%
79.666666671
< 0.1%
80.751
< 0.1%
ValueCountFrequency (%)
13831
< 0.1%
12461
< 0.1%
12111
< 0.1%
11611
< 0.1%
10301
< 0.1%
10001
< 0.1%
9761
< 0.1%
9601
< 0.1%
9561
< 0.1%
9461
< 0.1%

Fibrinogen-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct819
Distinct (%)31.9%
Missing17769
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean311.0294897
Minimum52.5
Maximum1383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:28.750487image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum52.5
5-th percentile124
Q1193
median263
Q3384
95-th percentile655.35
Maximum1383
Range1330.5
Interquartile range (IQR)191

Descriptive statistics

Standard deviation168.1038227
Coefficient of variation (CV)0.5404755121
Kurtosis2.677224558
Mean311.0294897
Median Absolute Deviation (MAD)85
Skewness1.45608704
Sum798412.7
Variance28258.89521
MonotonicityNot monotonic
2021-11-29T11:30:28.952615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20216
 
0.1%
21415
 
0.1%
21714
 
0.1%
22214
 
0.1%
23914
 
0.1%
18314
 
0.1%
16813
 
0.1%
20613
 
0.1%
23313
 
0.1%
24813
 
0.1%
Other values (809)2428
 
11.9%
(Missing)17769
87.4%
ValueCountFrequency (%)
52.51
 
< 0.1%
581
 
< 0.1%
61.51
 
< 0.1%
631
 
< 0.1%
651
 
< 0.1%
763
< 0.1%
781
 
< 0.1%
791
 
< 0.1%
801
 
< 0.1%
80.51
 
< 0.1%
ValueCountFrequency (%)
13831
< 0.1%
12461
< 0.1%
12111
< 0.1%
11611
< 0.1%
10511
< 0.1%
10301
< 0.1%
9761
< 0.1%
9601
< 0.1%
9561
< 0.1%
9461
< 0.1%

Platelets-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct704
Distinct (%)3.6%
Missing585
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean195.8909675
Minimum5
Maximum1592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:29.053690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile68
Q1129
median178
Q3241
95-th percentile379
Maximum1592
Range1587
Interquartile range (IQR)112

Descriptive statistics

Standard deviation103.0525545
Coefficient of variation (CV)0.5260709862
Kurtosis9.396094818
Mean195.8909675
Median Absolute Deviation (MAD)55
Skewness1.94562446
Sum3869042.5
Variance10619.82898
MonotonicityNot monotonic
2021-11-29T11:30:29.153620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160133
 
0.7%
195122
 
0.6%
172119
 
0.6%
179119
 
0.6%
158112
 
0.6%
170112
 
0.6%
156110
 
0.5%
125110
 
0.5%
188109
 
0.5%
157109
 
0.5%
Other values (694)18596
91.4%
(Missing)585
 
2.9%
ValueCountFrequency (%)
55
< 0.1%
62
 
< 0.1%
75
< 0.1%
81
 
< 0.1%
93
< 0.1%
103
< 0.1%
113
< 0.1%
127
< 0.1%
135
< 0.1%
144
< 0.1%
ValueCountFrequency (%)
15921
< 0.1%
14211
< 0.1%
13431
< 0.1%
12621
< 0.1%
11421
< 0.1%
10241
< 0.1%
10071
< 0.1%
9921
< 0.1%
9841
< 0.1%
9611
< 0.1%

Platelets-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct753
Distinct (%)3.8%
Missing585
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean229.3742595
Minimum10
Maximum1783
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:29.258810image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile98
Q1158
median208
Q3275
95-th percentile430.5
Maximum1783
Range1773
Interquartile range (IQR)117

Descriptive statistics

Standard deviation111.6872719
Coefficient of variation (CV)0.4869215584
Kurtosis11.07361937
Mean229.3742595
Median Absolute Deviation (MAD)57
Skewness2.14067279
Sum4530371
Variance12474.04671
MonotonicityNot monotonic
2021-11-29T11:30:29.356267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167113
 
0.6%
186113
 
0.6%
172112
 
0.6%
197112
 
0.6%
155110
 
0.5%
192109
 
0.5%
198108
 
0.5%
187108
 
0.5%
188108
 
0.5%
207107
 
0.5%
Other values (743)18651
91.7%
(Missing)585
 
2.9%
ValueCountFrequency (%)
101
 
< 0.1%
131
 
< 0.1%
142
< 0.1%
162
< 0.1%
171
 
< 0.1%
183
< 0.1%
192
< 0.1%
201
 
< 0.1%
212
< 0.1%
223
< 0.1%
ValueCountFrequency (%)
17831
< 0.1%
16671
< 0.1%
13431
< 0.1%
13391
< 0.1%
12742
< 0.1%
12531
< 0.1%
12011
< 0.1%
11971
< 0.1%
11292
< 0.1%
11111
< 0.1%

Platelets-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3464
Distinct (%)17.5%
Missing585
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean212.0161986
Minimum9.333333333
Maximum1687.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:29.460560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.333333333
5-th percentile85.25
Q1144.3333333
median193
Q3256
95-th percentile400.5
Maximum1687.5
Range1678.166667
Interquartile range (IQR)111.6666667

Descriptive statistics

Standard deviation105.2199416
Coefficient of variation (CV)0.4962825589
Kurtosis10.57167137
Mean212.0161986
Median Absolute Deviation (MAD)54.6
Skewness2.070866857
Sum4187531.939
Variance11071.23611
MonotonicityNot monotonic
2021-11-29T11:30:29.558220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18469
 
0.3%
18069
 
0.3%
16768
 
0.3%
20168
 
0.3%
19567
 
0.3%
18564
 
0.3%
21164
 
0.3%
16063
 
0.3%
16363
 
0.3%
18962
 
0.3%
Other values (3454)19094
93.9%
(Missing)585
 
2.9%
ValueCountFrequency (%)
9.3333333331
< 0.1%
9.51
< 0.1%
9.7272727271
< 0.1%
10.21
< 0.1%
12.8751
< 0.1%
132
< 0.1%
142
< 0.1%
15.666666671
< 0.1%
171
< 0.1%
17.333333332
< 0.1%
ValueCountFrequency (%)
1687.51
< 0.1%
15441
< 0.1%
13431
< 0.1%
1300.51
< 0.1%
1187.751
< 0.1%
1113.751
< 0.1%
1101.3333331
< 0.1%
1096.51
< 0.1%
1067.51
< 0.1%
1056.51
< 0.1%

Platelets-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1229
Distinct (%)6.2%
Missing585
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean211.4816819
Minimum7
Maximum1687.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:29.662854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile84
Q1143.5
median193
Q3256
95-th percentile400
Maximum1687.5
Range1680.5
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation105.563872
Coefficient of variation (CV)0.4991631947
Kurtosis10.53365289
Mean211.4816819
Median Absolute Deviation (MAD)55
Skewness2.062033431
Sum4176974.7
Variance11143.73107
MonotonicityNot monotonic
2021-11-29T11:30:29.759876image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18097
 
0.5%
19590
 
0.4%
19388
 
0.4%
17987
 
0.4%
18487
 
0.4%
18586
 
0.4%
16386
 
0.4%
18684
 
0.4%
16784
 
0.4%
20182
 
0.4%
Other values (1219)18880
92.8%
(Missing)585
 
2.9%
ValueCountFrequency (%)
71
 
< 0.1%
8.51
 
< 0.1%
93
< 0.1%
9.51
 
< 0.1%
101
 
< 0.1%
11.51
 
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
14.52
< 0.1%
151
 
< 0.1%
ValueCountFrequency (%)
1687.51
< 0.1%
15441
< 0.1%
13431
< 0.1%
1300.51
< 0.1%
11911
< 0.1%
1167.51
< 0.1%
1125.51
< 0.1%
1096.51
< 0.1%
1067.51
< 0.1%
1056.51
< 0.1%

Age-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5971
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.6216129
Minimum18.11
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:29.862564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.11
5-th percentile30.8475
Q152.29
median64.67
Q375.66
95-th percentile84.95
Maximum89
Range70.89
Interquartile range (IQR)23.37

Descriptive statistics

Standard deviation16.23615352
Coefficient of variation (CV)0.2592739594
Kurtosis-0.2520549698
Mean62.6216129
Median Absolute Deviation (MAD)11.61
Skewness-0.5902903968
Sum1273473.12
Variance263.6126812
MonotonicityNot monotonic
2021-11-29T11:30:29.960228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.8213
 
0.1%
69.6812
 
0.1%
61.0812
 
0.1%
68.1712
 
0.1%
65.4712
 
0.1%
71.3712
 
0.1%
68.3711
 
0.1%
69.5811
 
0.1%
78.4211
 
0.1%
60.8811
 
0.1%
Other values (5961)20219
99.4%
ValueCountFrequency (%)
18.113
< 0.1%
18.131
 
< 0.1%
18.142
< 0.1%
18.151
 
< 0.1%
18.181
 
< 0.1%
18.241
 
< 0.1%
18.321
 
< 0.1%
18.341
 
< 0.1%
18.352
< 0.1%
18.361
 
< 0.1%
ValueCountFrequency (%)
891
 
< 0.1%
88.991
 
< 0.1%
88.982
 
< 0.1%
88.974
< 0.1%
88.961
 
< 0.1%
88.954
< 0.1%
88.942
 
< 0.1%
88.931
 
< 0.1%
88.925
< 0.1%
88.94
< 0.1%

Age-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5971
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.6216129
Minimum18.11
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:30.065992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.11
5-th percentile30.8475
Q152.29
median64.67
Q375.66
95-th percentile84.95
Maximum89
Range70.89
Interquartile range (IQR)23.37

Descriptive statistics

Standard deviation16.23615352
Coefficient of variation (CV)0.2592739594
Kurtosis-0.2520549698
Mean62.6216129
Median Absolute Deviation (MAD)11.61
Skewness-0.5902903968
Sum1273473.12
Variance263.6126812
MonotonicityNot monotonic
2021-11-29T11:30:30.163958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.8213
 
0.1%
69.6812
 
0.1%
61.0812
 
0.1%
68.1712
 
0.1%
65.4712
 
0.1%
71.3712
 
0.1%
68.3711
 
0.1%
69.5811
 
0.1%
78.4211
 
0.1%
60.8811
 
0.1%
Other values (5961)20219
99.4%
ValueCountFrequency (%)
18.113
< 0.1%
18.131
 
< 0.1%
18.142
< 0.1%
18.151
 
< 0.1%
18.181
 
< 0.1%
18.241
 
< 0.1%
18.321
 
< 0.1%
18.341
 
< 0.1%
18.352
< 0.1%
18.361
 
< 0.1%
ValueCountFrequency (%)
891
 
< 0.1%
88.991
 
< 0.1%
88.982
 
< 0.1%
88.974
< 0.1%
88.961
 
< 0.1%
88.954
< 0.1%
88.942
 
< 0.1%
88.931
 
< 0.1%
88.925
< 0.1%
88.94
< 0.1%

Age-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7280
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.6216129
Minimum18.11
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:30.268056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.11
5-th percentile30.8475
Q152.29
median64.67
Q375.66
95-th percentile84.95
Maximum89
Range70.89
Interquartile range (IQR)23.37

Descriptive statistics

Standard deviation16.23615352
Coefficient of variation (CV)0.2592739594
Kurtosis-0.2520549698
Mean62.6216129
Median Absolute Deviation (MAD)11.61
Skewness-0.5902903968
Sum1273473.12
Variance263.6126812
MonotonicityNot monotonic
2021-11-29T11:30:30.365563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.8213
 
0.1%
68.1712
 
0.1%
71.3712
 
0.1%
65.4712
 
0.1%
69.6812
 
0.1%
72.8111
 
0.1%
69.5811
 
0.1%
64.8611
 
0.1%
62.511
 
0.1%
77.7711
 
0.1%
Other values (7270)20220
99.4%
ValueCountFrequency (%)
18.113
< 0.1%
18.131
 
< 0.1%
18.142
< 0.1%
18.151
 
< 0.1%
18.181
 
< 0.1%
18.241
 
< 0.1%
18.321
 
< 0.1%
18.341
 
< 0.1%
18.352
< 0.1%
18.361
 
< 0.1%
ValueCountFrequency (%)
891
 
< 0.1%
88.991
 
< 0.1%
88.982
< 0.1%
88.974
< 0.1%
88.961
 
< 0.1%
88.951
 
< 0.1%
88.953
< 0.1%
88.942
< 0.1%
88.931
 
< 0.1%
88.921
 
< 0.1%

Age-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5971
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.6216129
Minimum18.11
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:30.470131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.11
5-th percentile30.8475
Q152.29
median64.67
Q375.66
95-th percentile84.95
Maximum89
Range70.89
Interquartile range (IQR)23.37

Descriptive statistics

Standard deviation16.23615352
Coefficient of variation (CV)0.2592739594
Kurtosis-0.2520549698
Mean62.6216129
Median Absolute Deviation (MAD)11.61
Skewness-0.5902903968
Sum1273473.12
Variance263.6126812
MonotonicityNot monotonic
2021-11-29T11:30:30.668576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.8213
 
0.1%
69.6812
 
0.1%
61.0812
 
0.1%
68.1712
 
0.1%
65.4712
 
0.1%
71.3712
 
0.1%
68.3711
 
0.1%
69.5811
 
0.1%
78.4211
 
0.1%
60.8811
 
0.1%
Other values (5961)20219
99.4%
ValueCountFrequency (%)
18.113
< 0.1%
18.131
 
< 0.1%
18.142
< 0.1%
18.151
 
< 0.1%
18.181
 
< 0.1%
18.241
 
< 0.1%
18.321
 
< 0.1%
18.341
 
< 0.1%
18.352
< 0.1%
18.361
 
< 0.1%
ValueCountFrequency (%)
891
 
< 0.1%
88.991
 
< 0.1%
88.982
 
< 0.1%
88.974
< 0.1%
88.961
 
< 0.1%
88.954
< 0.1%
88.942
 
< 0.1%
88.931
 
< 0.1%
88.925
< 0.1%
88.94
< 0.1%

Gender-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
1
11834 
0
8502 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20336
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Length

2021-11-29T11:30:30.765638image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:30.809959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Most occurring characters

ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20336
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Most occurring scripts

ValueCountFrequency (%)
Common20336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII20336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Gender-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
1
11834 
0
8502 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20336
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Length

2021-11-29T11:30:31.650040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:31.702848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Most occurring characters

ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20336
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Most occurring scripts

ValueCountFrequency (%)
Common20336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII20336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111834
58.2%
08502
41.8%

Gender-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
1.0
11834 
0.0
8502 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.011834
58.2%
0.08502
41.8%

Length

2021-11-29T11:30:31.757838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:31.810966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.011834
58.2%
0.08502
41.8%

Most occurring characters

ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
028838
70.9%
111834
29.1%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Gender-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
1.0
11834 
0.0
8502 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.011834
58.2%
0.08502
41.8%

Length

2021-11-29T11:30:31.866501image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:31.919808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.011834
58.2%
0.08502
41.8%

Most occurring characters

ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
028838
70.9%
111834
29.1%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Unit1-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
0.0
5470 
1.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.05470
26.9%
1.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:30:31.972437image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:32.021223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05470
50.6%
1.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016284
75.3%
15344
 
24.7%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Unit1-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
0.0
5470 
1.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.05470
26.9%
1.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:30:32.073003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:32.121772image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05470
50.6%
1.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016284
75.3%
15344
 
24.7%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Unit1-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
0.0
5470 
1.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.05470
26.9%
1.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:30:32.173716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:32.222498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05470
50.6%
1.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016284
75.3%
15344
 
24.7%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Unit1-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
0.0
5470 
1.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.05470
26.9%
1.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:30:32.274200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:32.322928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05470
50.6%
1.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016284
75.3%
15344
 
24.7%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Unit2-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
1.0
5470 
0.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.05470
26.9%
0.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:30:32.374665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:32.423548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.05470
50.6%
0.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016158
74.7%
15470
 
25.3%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Unit2-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
1.0
5470 
0.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.05470
26.9%
0.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:30:32.475176image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:32.523891image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.05470
50.6%
0.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016158
74.7%
15470
 
25.3%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Unit2-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
1.0
5470 
0.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.05470
26.9%
0.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:30:32.575643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:32.624356image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.05470
50.6%
0.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016158
74.7%
15470
 
25.3%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Unit2-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
1.0
5470 
0.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.05470
26.9%
0.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:30:32.676317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:32.725209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.05470
50.6%
0.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016158
74.7%
15470
 
25.3%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

HospAdmTime-min
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7152
Distinct (%)35.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-48.67841062
Minimum-3710.66
Maximum23.99
Zeros168
Zeros (%)0.8%
Negative19912
Negative (%)97.9%
Memory size159.0 KiB
2021-11-29T11:30:32.787777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-3710.66
5-th percentile-236.12
Q1-34.135
median-2.77
Q3-0.02
95-th percentile-0.01
Maximum23.99
Range3734.65
Interquartile range (IQR)34.115

Descriptive statistics

Standard deviation143.6833182
Coefficient of variation (CV)-2.951684666
Kurtosis123.0885825
Mean-48.67841062
Median Absolute Deviation (MAD)2.75
Skewness-8.542504055
Sum-989875.48
Variance20644.89593
MonotonicityNot monotonic
2021-11-29T11:30:32.887560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.023749
 
18.4%
-0.032290
 
11.3%
-0.011114
 
5.5%
-0.04658
 
3.2%
-0.05314
 
1.5%
0168
 
0.8%
-0.06136
 
0.7%
-0.0782
 
0.4%
-0.0840
 
0.2%
-0.0932
 
0.2%
Other values (7142)11752
57.8%
ValueCountFrequency (%)
-3710.661
< 0.1%
-3322.91
< 0.1%
-3269.11
< 0.1%
-3212.561
< 0.1%
-3141.551
< 0.1%
-2668.771
< 0.1%
-2562.531
< 0.1%
-2506.691
< 0.1%
-2476.581
< 0.1%
-2379.761
< 0.1%
ValueCountFrequency (%)
23.991
< 0.1%
22.041
< 0.1%
20.041
< 0.1%
17.341
< 0.1%
16.021
< 0.1%
14.651
< 0.1%
14.211
< 0.1%
141
< 0.1%
11.941
< 0.1%
10.991
< 0.1%

HospAdmTime-max
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7152
Distinct (%)35.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-48.67841062
Minimum-3710.66
Maximum23.99
Zeros168
Zeros (%)0.8%
Negative19912
Negative (%)97.9%
Memory size159.0 KiB
2021-11-29T11:30:32.993929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-3710.66
5-th percentile-236.12
Q1-34.135
median-2.77
Q3-0.02
95-th percentile-0.01
Maximum23.99
Range3734.65
Interquartile range (IQR)34.115

Descriptive statistics

Standard deviation143.6833182
Coefficient of variation (CV)-2.951684666
Kurtosis123.0885825
Mean-48.67841062
Median Absolute Deviation (MAD)2.75
Skewness-8.542504055
Sum-989875.48
Variance20644.89593
MonotonicityNot monotonic
2021-11-29T11:30:33.208991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.023749
 
18.4%
-0.032290
 
11.3%
-0.011114
 
5.5%
-0.04658
 
3.2%
-0.05314
 
1.5%
0168
 
0.8%
-0.06136
 
0.7%
-0.0782
 
0.4%
-0.0840
 
0.2%
-0.0932
 
0.2%
Other values (7142)11752
57.8%
ValueCountFrequency (%)
-3710.661
< 0.1%
-3322.91
< 0.1%
-3269.11
< 0.1%
-3212.561
< 0.1%
-3141.551
< 0.1%
-2668.771
< 0.1%
-2562.531
< 0.1%
-2506.691
< 0.1%
-2476.581
< 0.1%
-2379.761
< 0.1%
ValueCountFrequency (%)
23.991
< 0.1%
22.041
< 0.1%
20.041
< 0.1%
17.341
< 0.1%
16.021
< 0.1%
14.651
< 0.1%
14.211
< 0.1%
141
< 0.1%
11.941
< 0.1%
10.991
< 0.1%

HospAdmTime-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7676
Distinct (%)37.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-48.67841062
Minimum-3710.66
Maximum23.99
Zeros168
Zeros (%)0.8%
Negative19912
Negative (%)97.9%
Memory size159.0 KiB
2021-11-29T11:30:33.315696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-3710.66
5-th percentile-236.12
Q1-34.135
median-2.77
Q3-0.02
95-th percentile-0.01
Maximum23.99
Range3734.65
Interquartile range (IQR)34.115

Descriptive statistics

Standard deviation143.6833182
Coefficient of variation (CV)-2.951684666
Kurtosis123.0885825
Mean-48.67841062
Median Absolute Deviation (MAD)2.75
Skewness-8.542504055
Sum-989875.48
Variance20644.89593
MonotonicityNot monotonic
2021-11-29T11:30:33.415113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.023561
 
17.5%
-0.031635
 
8.0%
-0.011065
 
5.2%
-0.04631
 
3.1%
-0.03339
 
1.7%
-0.03316
 
1.6%
-0.05256
 
1.3%
0168
 
0.8%
-0.02122
 
0.6%
-0.0691
 
0.4%
Other values (7666)12151
59.8%
ValueCountFrequency (%)
-3710.661
< 0.1%
-3322.91
< 0.1%
-3269.11
< 0.1%
-3212.561
< 0.1%
-3141.551
< 0.1%
-2668.771
< 0.1%
-2562.531
< 0.1%
-2506.691
< 0.1%
-2476.581
< 0.1%
-2379.761
< 0.1%
ValueCountFrequency (%)
23.991
< 0.1%
22.041
< 0.1%
20.041
< 0.1%
17.341
< 0.1%
16.021
< 0.1%
14.651
< 0.1%
14.211
< 0.1%
141
< 0.1%
11.941
< 0.1%
10.991
< 0.1%

HospAdmTime-median
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7152
Distinct (%)35.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-48.67841062
Minimum-3710.66
Maximum23.99
Zeros168
Zeros (%)0.8%
Negative19912
Negative (%)97.9%
Memory size159.0 KiB
2021-11-29T11:30:33.522440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-3710.66
5-th percentile-236.12
Q1-34.135
median-2.77
Q3-0.02
95-th percentile-0.01
Maximum23.99
Range3734.65
Interquartile range (IQR)34.115

Descriptive statistics

Standard deviation143.6833182
Coefficient of variation (CV)-2.951684666
Kurtosis123.0885825
Mean-48.67841062
Median Absolute Deviation (MAD)2.75
Skewness-8.542504055
Sum-989875.48
Variance20644.89593
MonotonicityNot monotonic
2021-11-29T11:30:33.622247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.023749
 
18.4%
-0.032290
 
11.3%
-0.011114
 
5.5%
-0.04658
 
3.2%
-0.05314
 
1.5%
0168
 
0.8%
-0.06136
 
0.7%
-0.0782
 
0.4%
-0.0840
 
0.2%
-0.0932
 
0.2%
Other values (7142)11752
57.8%
ValueCountFrequency (%)
-3710.661
< 0.1%
-3322.91
< 0.1%
-3269.11
< 0.1%
-3212.561
< 0.1%
-3141.551
< 0.1%
-2668.771
< 0.1%
-2562.531
< 0.1%
-2506.691
< 0.1%
-2476.581
< 0.1%
-2379.761
< 0.1%
ValueCountFrequency (%)
23.991
< 0.1%
22.041
< 0.1%
20.041
< 0.1%
17.341
< 0.1%
16.021
< 0.1%
14.651
< 0.1%
14.211
< 0.1%
141
< 0.1%
11.941
< 0.1%
10.991
< 0.1%

ICULOS-min
Real number (ℝ≥0)

SKEWED

Distinct31
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.916256884
Minimum1
Maximum304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:33.721546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum304
Range303
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.852074093
Coefficient of variation (CV)2.010207569
Kurtosis4370.912417
Mean1.916256884
Median Absolute Deviation (MAD)0
Skewness59.42175818
Sum38969
Variance14.83847482
MonotonicityNot monotonic
2021-11-29T11:30:33.805132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
112839
63.1%
23388
 
16.7%
31678
 
8.3%
41003
 
4.9%
5576
 
2.8%
6369
 
1.8%
7208
 
1.0%
8109
 
0.5%
960
 
0.3%
1029
 
0.1%
Other values (21)77
 
0.4%
ValueCountFrequency (%)
112839
63.1%
23388
 
16.7%
31678
 
8.3%
41003
 
4.9%
5576
 
2.8%
6369
 
1.8%
7208
 
1.0%
8109
 
0.5%
960
 
0.3%
1029
 
0.1%
ValueCountFrequency (%)
3041
 
< 0.1%
2821
 
< 0.1%
2691
 
< 0.1%
304
< 0.1%
281
 
< 0.1%
272
< 0.1%
262
< 0.1%
251
 
< 0.1%
241
 
< 0.1%
234
< 0.1%

ICULOS-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct231
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.77419355
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:33.904234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile16
Q126
median40
Q348
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.5524824
Coefficient of variation (CV)0.5670129396
Kurtosis42.39177693
Mean39.77419355
Median Absolute Deviation (MAD)11
Skewness4.846038135
Sum808848
Variance508.6144626
MonotonicityNot monotonic
2021-11-29T11:30:34.004488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36693
 
3.4%
41655
 
3.2%
38651
 
3.2%
39637
 
3.1%
42629
 
3.1%
43628
 
3.1%
40621
 
3.1%
37614
 
3.0%
46604
 
3.0%
44583
 
2.9%
Other values (221)14021
68.9%
ValueCountFrequency (%)
888
 
0.4%
9101
 
0.5%
1086
 
0.4%
1196
 
0.5%
1296
 
0.5%
13123
0.6%
14155
0.8%
15187
0.9%
16222
1.1%
17282
1.4%
ValueCountFrequency (%)
3369
< 0.1%
3301
 
< 0.1%
3281
 
< 0.1%
3061
 
< 0.1%
3051
 
< 0.1%
3031
 
< 0.1%
2971
 
< 0.1%
2861
 
< 0.1%
2831
 
< 0.1%
2791
 
< 0.1%

ICULOS-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct226
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.84522522
Minimum4.5
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:34.109605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile8.5
Q114
median20.5
Q325
95-th percentile30
Maximum320
Range315.5
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.71782428
Coefficient of variation (CV)0.5621346929
Kurtosis84.39630215
Mean20.84522522
Median Absolute Deviation (MAD)5.5
Skewness6.167088074
Sum423908.5
Variance137.3074058
MonotonicityNot monotonic
2021-11-29T11:30:34.205144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.5626
 
3.1%
22619
 
3.0%
21598
 
2.9%
23.5597
 
2.9%
20.5596
 
2.9%
20591
 
2.9%
23585
 
2.9%
22.5579
 
2.8%
24570
 
2.8%
19.5570
 
2.8%
Other values (216)14405
70.8%
ValueCountFrequency (%)
4.588
 
0.4%
587
 
0.4%
5.574
 
0.4%
687
 
0.4%
6.591
 
0.4%
7110
0.5%
7.5149
0.7%
8157
0.8%
8.5206
1.0%
9261
1.3%
ValueCountFrequency (%)
3201
 
< 0.1%
3091
 
< 0.1%
2861
 
< 0.1%
169.51
 
< 0.1%
1691
 
< 0.1%
168.55
< 0.1%
165.51
 
< 0.1%
164.51
 
< 0.1%
1541
 
< 0.1%
1531
 
< 0.1%

ICULOS-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct226
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.84522522
Minimum4.5
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:34.305865image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile8.5
Q114
median20.5
Q325
95-th percentile30
Maximum320
Range315.5
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.71782428
Coefficient of variation (CV)0.5621346929
Kurtosis84.39630215
Mean20.84522522
Median Absolute Deviation (MAD)5.5
Skewness6.167088074
Sum423908.5
Variance137.3074058
MonotonicityNot monotonic
2021-11-29T11:30:34.400506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.5626
 
3.1%
22619
 
3.0%
21598
 
2.9%
23.5597
 
2.9%
20.5596
 
2.9%
20591
 
2.9%
23585
 
2.9%
22.5579
 
2.8%
24570
 
2.8%
19.5570
 
2.8%
Other values (216)14405
70.8%
ValueCountFrequency (%)
4.588
 
0.4%
587
 
0.4%
5.574
 
0.4%
687
 
0.4%
6.591
 
0.4%
7110
0.5%
7.5149
0.7%
8157
0.8%
8.5206
1.0%
9261
1.3%
ValueCountFrequency (%)
3201
 
< 0.1%
3091
 
< 0.1%
2861
 
< 0.1%
169.51
 
< 0.1%
1691
 
< 0.1%
168.55
< 0.1%
165.51
 
< 0.1%
164.51
 
< 0.1%
1541
 
< 0.1%
1531
 
< 0.1%

SepsisLabel-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0
20133 
1
 
203

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20336
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
020133
99.0%
1203
 
1.0%

Length

2021-11-29T11:30:34.493937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:34.546510image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
020133
99.0%
1203
 
1.0%

Most occurring characters

ValueCountFrequency (%)
020133
99.0%
1203
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20336
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020133
99.0%
1203
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common20336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020133
99.0%
1203
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII20336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020133
99.0%
1203
 
1.0%

SepsisLabel-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0
18546 
1
 
1790

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20336
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Length

2021-11-29T11:30:34.602187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:34.742657image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring characters

ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20336
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common20336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII20336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

SepsisLabel-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct350
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03360332271
Minimum0
Maximum1
Zeros18546
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:34.806690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.2083333333
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1431976379
Coefficient of variation (CV)4.261413049
Kurtosis27.7509207
Mean0.03360332271
Median Absolute Deviation (MAD)0
Skewness5.164975623
Sum683.3571706
Variance0.02050556349
MonotonicityNot monotonic
2021-11-29T11:30:34.909116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018546
91.2%
1203
 
1.0%
0.833333333333
 
0.2%
0.588235294131
 
0.2%
0.909090909130
 
0.1%
0.666666666727
 
0.1%
0.476190476225
 
0.1%
0.714285714324
 
0.1%
0.555555555623
 
0.1%
0.523
 
0.1%
Other values (340)1371
 
6.7%
ValueCountFrequency (%)
018546
91.2%
0.017857142861
 
< 0.1%
0.027272727271
 
< 0.1%
0.029508196721
 
< 0.1%
0.030487804881
 
< 0.1%
0.031468531471
 
< 0.1%
0.032490974731
 
< 0.1%
0.032727272731
 
< 0.1%
0.032786885251
 
< 0.1%
0.033582089551
 
< 0.1%
ValueCountFrequency (%)
1203
1.0%
0.909090909130
 
0.1%
0.917
 
0.1%
0.833333333333
 
0.2%
0.818181818213
 
0.1%
0.769230769217
 
0.1%
0.7514
 
0.1%
0.714285714324
 
0.1%
0.692307692313
 
0.1%
0.666666666727
 
0.1%

SepsisLabel-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0.0
19777 
1.0
 
536
0.5
 
23

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.019777
97.3%
1.0536
 
2.6%
0.523
 
0.1%

Length

2021-11-29T11:30:35.003537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:35.057430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.019777
97.3%
1.0536
 
2.6%
0.523
 
0.1%

Most occurring characters

ValueCountFrequency (%)
040113
65.8%
.20336
33.3%
1536
 
0.9%
523
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
040113
98.6%
1536
 
1.3%
523
 
0.1%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
040113
65.8%
.20336
33.3%
1536
 
0.9%
523
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
040113
65.8%
.20336
33.3%
1536
 
0.9%
523
 
< 0.1%

Sepsis-min
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0
18546 
1
 
1790

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20336
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Length

2021-11-29T11:30:35.118409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:35.171301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring characters

ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20336
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common20336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII20336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Sepsis-max
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0
18546 
1
 
1790

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters20336
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Length

2021-11-29T11:30:35.226034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:35.278615image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring characters

ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number20336
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common20336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII20336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
018546
91.2%
11790
 
8.8%

Sepsis-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0.0
18546 
1.0
 
1790

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.018546
91.2%
1.01790
 
8.8%

Length

2021-11-29T11:30:35.333961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:35.386852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.018546
91.2%
1.01790
 
8.8%

Most occurring characters

ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
038882
95.6%
11790
 
4.4%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Sepsis-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0.0
18546 
1.0
 
1790

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.018546
91.2%
1.01790
 
8.8%

Length

2021-11-29T11:30:35.442323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:30:35.495564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.018546
91.2%
1.01790
 
8.8%

Most occurring characters

ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
038882
95.6%
11790
 
4.4%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Hours-min
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct228
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.85793666
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:35.558306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile15
Q125
median39
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.30865867
Coefficient of variation (CV)0.5741081639
Kurtosis40.49091179
Mean38.85793666
Median Absolute Deviation (MAD)11
Skewness4.703211094
Sum790215
Variance497.6762517
MonotonicityNot monotonic
2021-11-29T11:30:35.656898image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36700
 
3.4%
39665
 
3.3%
38656
 
3.2%
40634
 
3.1%
41632
 
3.1%
37632
 
3.1%
43600
 
3.0%
42597
 
2.9%
44580
 
2.9%
46560
 
2.8%
Other values (218)14080
69.2%
ValueCountFrequency (%)
8124
 
0.6%
9122
 
0.6%
1095
 
0.5%
11114
 
0.6%
12121
 
0.6%
13145
0.7%
14194
1.0%
15231
1.1%
16274
1.3%
17348
1.7%
ValueCountFrequency (%)
3365
< 0.1%
3351
 
< 0.1%
3341
 
< 0.1%
3301
 
< 0.1%
3281
 
< 0.1%
3052
 
< 0.1%
2971
 
< 0.1%
2861
 
< 0.1%
2791
 
< 0.1%
2771
 
< 0.1%

Hours-max
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct228
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.85793666
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:35.762323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile15
Q125
median39
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.30865867
Coefficient of variation (CV)0.5741081639
Kurtosis40.49091179
Mean38.85793666
Median Absolute Deviation (MAD)11
Skewness4.703211094
Sum790215
Variance497.6762517
MonotonicityNot monotonic
2021-11-29T11:30:35.862370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36700
 
3.4%
39665
 
3.3%
38656
 
3.2%
40634
 
3.1%
41632
 
3.1%
37632
 
3.1%
43600
 
3.0%
42597
 
2.9%
44580
 
2.9%
46560
 
2.8%
Other values (218)14080
69.2%
ValueCountFrequency (%)
8124
 
0.6%
9122
 
0.6%
1095
 
0.5%
11114
 
0.6%
12121
 
0.6%
13145
0.7%
14194
1.0%
15231
1.1%
16274
1.3%
17348
1.7%
ValueCountFrequency (%)
3365
< 0.1%
3351
 
< 0.1%
3341
 
< 0.1%
3301
 
< 0.1%
3281
 
< 0.1%
3052
 
< 0.1%
2971
 
< 0.1%
2861
 
< 0.1%
2791
 
< 0.1%
2771
 
< 0.1%

Hours-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct228
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.85793666
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:35.967225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile15
Q125
median39
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.30865867
Coefficient of variation (CV)0.5741081639
Kurtosis40.49091179
Mean38.85793666
Median Absolute Deviation (MAD)11
Skewness4.703211094
Sum790215
Variance497.6762517
MonotonicityNot monotonic
2021-11-29T11:30:36.065820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36700
 
3.4%
39665
 
3.3%
38656
 
3.2%
40634
 
3.1%
41632
 
3.1%
37632
 
3.1%
43600
 
3.0%
42597
 
2.9%
44580
 
2.9%
46560
 
2.8%
Other values (218)14080
69.2%
ValueCountFrequency (%)
8124
 
0.6%
9122
 
0.6%
1095
 
0.5%
11114
 
0.6%
12121
 
0.6%
13145
0.7%
14194
1.0%
15231
1.1%
16274
1.3%
17348
1.7%
ValueCountFrequency (%)
3365
< 0.1%
3351
 
< 0.1%
3341
 
< 0.1%
3301
 
< 0.1%
3281
 
< 0.1%
3052
 
< 0.1%
2971
 
< 0.1%
2861
 
< 0.1%
2791
 
< 0.1%
2771
 
< 0.1%

Hours-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct228
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.85793666
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:30:36.257982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile15
Q125
median39
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.30865867
Coefficient of variation (CV)0.5741081639
Kurtosis40.49091179
Mean38.85793666
Median Absolute Deviation (MAD)11
Skewness4.703211094
Sum790215
Variance497.6762517
MonotonicityNot monotonic
2021-11-29T11:30:36.356210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36700
 
3.4%
39665
 
3.3%
38656
 
3.2%
40634
 
3.1%
41632
 
3.1%
37632
 
3.1%
43600
 
3.0%
42597
 
2.9%
44580
 
2.9%
46560
 
2.8%
Other values (218)14080
69.2%
ValueCountFrequency (%)
8124
 
0.6%
9122
 
0.6%
1095
 
0.5%
11114
 
0.6%
12121
 
0.6%
13145
0.7%
14194
1.0%
15231
1.1%
16274
1.3%
17348
1.7%
ValueCountFrequency (%)
3365
< 0.1%
3351
 
< 0.1%
3341
 
< 0.1%
3301
 
< 0.1%
3281
 
< 0.1%
3052
 
< 0.1%
2971
 
< 0.1%
2861
 
< 0.1%
2791
 
< 0.1%
2771
 
< 0.1%

Interactions

Correlations

2021-11-29T11:30:36.686965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-11-29T11:30:40.195089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-11-29T11:30:43.774183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-11-29T11:30:47.043648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-11-29T11:29:46.912837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-11-29T11:29:52.805884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-11-29T11:30:00.759597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

PatientIDHR-minHR-maxHR-meanHR-medianO2Sat-minO2Sat-maxO2Sat-meanO2Sat-medianTemp-minTemp-maxTemp-meanTemp-medianSBP-minSBP-maxSBP-meanSBP-medianMAP-minMAP-maxMAP-meanMAP-medianDBP-minDBP-maxDBP-meanDBP-medianResp-minResp-maxResp-meanResp-medianEtCO2-minEtCO2-maxEtCO2-meanEtCO2-medianBaseExcess-minBaseExcess-maxBaseExcess-meanBaseExcess-medianHCO3-minHCO3-maxHCO3-meanHCO3-medianFiO2-minFiO2-maxFiO2-meanFiO2-medianpH-minpH-maxpH-meanpH-medianPaCO2-minPaCO2-maxPaCO2-meanPaCO2-medianSaO2-minSaO2-maxSaO2-meanSaO2-medianAST-minAST-maxAST-meanAST-medianBUN-minBUN-maxBUN-meanBUN-medianAlkalinephos-minAlkalinephos-maxAlkalinephos-meanAlkalinephos-medianCalcium-minCalcium-maxCalcium-meanCalcium-medianChloride-minChloride-maxChloride-meanChloride-medianCreatinine-minCreatinine-maxCreatinine-meanCreatinine-medianBilirubin_direct-minBilirubin_direct-maxBilirubin_direct-meanBilirubin_direct-medianGlucose-minGlucose-maxGlucose-meanGlucose-medianLactate-minLactate-maxLactate-meanLactate-medianMagnesium-minMagnesium-maxMagnesium-meanMagnesium-medianPhosphate-minPhosphate-maxPhosphate-meanPhosphate-medianPotassium-minPotassium-maxPotassium-meanPotassium-medianBilirubin_total-minBilirubin_total-maxBilirubin_total-meanBilirubin_total-medianTroponinI-minTroponinI-maxTroponinI-meanTroponinI-medianHct-minHct-maxHct-meanHct-medianHgb-minHgb-maxHgb-meanHgb-medianPTT-minPTT-maxPTT-meanPTT-medianWBC-minWBC-maxWBC-meanWBC-medianFibrinogen-minFibrinogen-maxFibrinogen-meanFibrinogen-medianPlatelets-minPlatelets-maxPlatelets-meanPlatelets-medianAge-minAge-maxAge-meanAge-medianGender-minGender-maxGender-meanGender-medianUnit1-minUnit1-maxUnit1-meanUnit1-medianUnit2-minUnit2-maxUnit2-meanUnit2-medianHospAdmTime-minHospAdmTime-maxHospAdmTime-meanHospAdmTime-medianICULOS-minICULOS-maxICULOS-meanICULOS-medianSepsisLabel-minSepsisLabel-maxSepsisLabel-meanSepsisLabel-medianSepsis-minSepsis-maxSepsis-meanSepsis-medianHours-minHours-maxHours-meanHours-median
0176.0117.0101.571429104.085.0100.091.47727391.036.1137.4436.77800036.72578.0181.0126.809524128.0044.00141.3387.26190587.915NaNNaNNaNNaN17.032.024.82000025.000NaNNaNNaNNaN18.024.020.71428620.045.048.046.50000046.50.250.30.2825000.297.317.407.3471437.34086.0100.095.33333398.078.091.086.50000088.516.016.016.00000016.014.022.018.00000018.098.098.098.098.09.39.69.4500009.4585.085.085.00000085.00.70.70.7000000.70NaNNaNNaNNaN133.0193.0163.000000163.0NaNNaNNaNNaN2.02.22.1000002.103.33.73.5000003.503.84.64.2000004.20.30.30.3000000.3NaNNaNNaNNaN36.237.236.70000036.7012.212.512.35000012.35NaNNaNNaNNaN5.714.710.20000010.2NaNNaNNaNNaN317.0338.0327.500000327.583.1483.1483.1483.14000.00.0NaNNaNNaNNaNNaNNaNNaNNaN-0.03-0.03-0.03-0.0315427.527.5000.000000.0000.00.0545454.054.0
1254.094.060.95454560.094.0100.097.00000097.036.0036.4436.16500036.110114.0194.0136.600000133.0050.50116.0066.70454565.00036.066.044.06666743.009.027.014.23684212.000NaNNaNNaNNaNNaNNaNNaNNaN22.022.022.00000022.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN100.0100.0100.000000100.0NaNNaNNaNNaN7.97.97.9000007.90113.0113.0113.000000113.02.52.52.5000002.50NaNNaNNaNNaN78.078.078.00000078.0NaNNaNNaNNaN2.52.52.5000002.504.44.44.4000004.405.15.15.1000005.1NaNNaNNaNNaNNaNNaNNaNNaN27.827.827.80000027.809.79.79.7000009.70NaNNaNNaNNaN11.011.011.00000011.0NaNNaNNaNNaN158.0158.0158.000000158.075.9175.9175.9175.91000.00.00.00.00.00.01.01.01.01.0-98.60-98.60-98.60-98.6012312.012.0000.000000.0000.00.0232323.023.0
2368.093.079.61111181.091.099.095.43181895.036.8938.6137.60937537.585122.0159.0140.033333140.0062.6799.0081.04800081.00044.069.054.39285753.5017.040.025.63333326.000NaNNaNNaNNaN5.08.06.5000006.529.032.030.66666731.00.500.80.6428570.607.497.517.4966677.49038.041.039.50000039.5NaNNaNNaNNaNNaNNaNNaNNaN25.031.028.66666730.0NaNNaNNaNNaN10.911.111.00000011.0098.0100.099.00000099.00.80.90.8666670.90NaNNaNNaNNaN51.0130.098.000000113.0NaNNaNNaNNaN2.42.52.4333332.402.32.92.5333332.403.44.13.7750003.8NaNNaNNaNNaNNaNNaNNaNNaN26.232.128.65000028.158.811.09.6333339.1029.530.530.00000030.08.310.09.0000008.7NaNNaNNaNNaN465.0488.0479.666667486.045.8245.8245.8245.82000.00.01.01.01.01.00.00.00.00.0-1195.71-1195.71-1195.71-1195.7114824.524.5000.000000.0000.00.0484848.048.0
3493.0113.0102.444444105.095.5100.098.20370498.036.0636.7836.45500036.39090.0132.5113.019231114.5034.0084.0067.14730867.83544.061.551.42857150.2514.026.018.88461518.000NaNNaNNaNNaN0.00.00.0000000.022.022.022.00000022.0NaNNaNNaNNaN7.367.417.3900007.40041.045.043.00000043.097.598.097.83333398.0NaNNaNNaNNaN14.019.016.50000016.5NaNNaNNaNNaN8.28.28.2000008.20105.0108.0106.500000106.50.80.80.8000000.80NaNNaNNaNNaN69.0253.0135.33333384.0NaNNaNNaNNaN1.72.42.0500002.053.83.83.8000003.804.05.04.4333334.3NaNNaNNaNNaNNaNNaNNaNNaN24.027.625.80000025.808.38.38.3000008.3021.322.321.80000021.87.67.67.6000007.6NaNNaNNaNNaN144.0220.0182.000000182.065.7165.7165.7165.71000.00.00.00.00.00.01.01.01.01.0-8.77-8.77-8.77-8.7712915.015.0000.000000.0000.00.0292929.029.0
4561.088.073.91666773.596.099.097.50000097.036.2237.3336.99222237.220114.0150.0132.770833133.5073.00103.0087.08823587.000NaNNaNNaNNaN14.021.016.50000016.000NaNNaNNaNNaNNaNNaNNaNNaN24.028.025.66666725.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN16.030.020.66666716.06.09.07.3333337.062.080.069.065.07.88.58.1666678.20105.0106.0105.333333105.00.60.70.6333330.60NaNNaNNaNNaN103.0138.0123.000000128.0NaNNaNNaNNaN1.92.52.2000002.202.83.02.8666672.803.14.03.5666673.60.50.60.5666670.6NaNNaNNaNNaN39.745.742.13333341.0014.215.514.70000014.4029.029.029.00000029.04.78.16.9333338.0NaNNaNNaNNaN273.0288.0279.000000276.028.0928.0928.0928.09111.01.01.01.01.01.00.00.00.00.0-0.05-0.05-0.05-0.0524925.525.5000.000000.0000.00.0484848.048.0
5687.0111.0100.000000100.595.0100.098.43750098.536.3336.7236.60000036.670101.0150.0125.933333122.0073.00100.0088.11066789.000NaNNaNNaNNaN18.543.026.58333324.000NaNNaNNaNNaN0.00.00.0000000.029.029.029.00000029.00.400.40.4000000.407.347.347.3400007.34047.047.047.00000047.0NaNNaNNaNNaNNaNNaNNaNNaN9.09.09.0000009.0NaNNaNNaNNaNNaNNaNNaNNaN111.0111.0111.000000111.00.70.70.7000000.70NaNNaNNaNNaN68.0293.0144.66666773.01.41.41.4000001.4NaNNaNNaNNaNNaNNaNNaNNaN3.83.83.8000003.8NaNNaNNaNNaNNaNNaNNaNNaN36.936.936.90000036.9012.212.212.20000012.20NaNNaNNaNNaN12.012.012.00000012.0NaNNaNNaNNaN298.0298.0298.000000298.052.0152.0152.0152.01111.01.01.01.01.01.00.00.00.00.0-0.03-0.03-0.03-0.0331911.011.0000.000000.0000.00.0171717.017.0
67103.0155.5120.363636121.093.0100.095.40909195.037.2838.3937.84214337.88591.0147.5110.130682109.0059.00102.0074.12500074.50045.082.059.62790760.0012.033.020.90909121.000NaNNaNNaNNaN-12.0-6.0-9.000000-9.013.020.016.16666716.00.401.00.4461540.407.227.407.3300007.33023.036.027.80000027.0NaNNaNNaNNaN452.0452.0452.000000452.052.071.063.16666766.088.088.088.088.05.98.07.2500007.35111.0123.0116.666667115.53.53.93.7666673.85NaNNaNNaNNaN71.0263.0181.166667193.52.22.22.2000002.21.61.91.7500001.750.93.81.9666671.302.84.63.4000003.11.41.41.4000001.4NaNNaNNaNNaN36.746.041.93333341.8514.516.415.44000015.3025.427.126.24000026.37.29.78.9000009.3NaNNaNNaNNaN26.066.045.33333345.064.2464.2464.2464.24111.01.01.01.01.01.00.00.00.00.0-0.05-0.05-0.05-0.0514523.023.0000.000000.0000.00.0454545.045.0
7865.088.076.34210575.079.0100.097.805556100.035.6736.8936.29454536.22089.0136.0109.835526108.7557.0081.0066.00000065.00040.056.047.61842148.5012.022.016.59210516.750NaNNaNNaNNaN-11.0-6.0-8.428571-8.015.017.015.54545515.0NaNNaNNaNNaN7.277.377.3464297.35522.037.028.25000027.0NaNNaNNaNNaNNaNNaNNaNNaN27.031.029.18181829.0NaNNaNNaNNaN7.48.27.9000008.00105.0110.0106.545455106.01.11.31.1833331.20NaNNaNNaNNaN84.0129.0105.571429108.00.82.11.5200001.61.82.51.9571431.902.73.83.3750003.503.25.74.7416674.9NaNNaNNaNNaNNaNNaNNaNNaN25.032.927.93333325.908.611.49.6333338.90NaNNaNNaNNaN9.011.49.9333339.4NaNNaNNaNNaN205.0357.0258.333333213.087.0887.0887.0887.08111.01.0NaNNaNNaNNaNNaNNaNNaNNaN-2.23-2.23-2.23-2.2314020.520.5000.000000.0000.00.0404040.040.0
8985.0143.0112.647059113.089.5100.097.93067298.035.3339.3337.61812537.72078.0158.0120.014706120.0056.00117.0081.67437080.00044.0120.066.08000065.0013.055.524.19432821.875NaNNaNNaNNaN-7.09.01.4042550.023.035.027.47619027.00.351.00.4890910.407.137.517.3670217.37032.080.547.38297948.074.099.090.95833397.0NaNNaNNaNNaN11.025.018.52631619.0NaNNaNNaNNaN7.48.77.8823538.00103.0113.0107.263158107.00.71.30.9736840.90NaNNaNNaNNaN87.0143.0120.013889119.50.83.82.2458332.21.12.42.0444442.051.75.43.2000003.053.04.53.7442863.7NaNNaNNaNNaNNaNNaNNaNNaN21.839.528.79393927.407.314.69.8685199.6024.246.432.05357130.93.914.910.58235310.9124.0804.0341.75232.564.0759.0263.473684175.027.9227.9227.9227.92111.01.0NaNNaNNaNNaNNaNNaNNaNNaN-0.03-0.03-0.03-0.031258129.5129.5010.038760.0111.01.0258258258.0258.0
91063.084.077.04347879.090.0100.095.82608796.035.5037.7036.88095237.00097.0137.0113.956522112.0063.0085.0073.60869672.00047.065.055.17391354.0010.023.018.65217419.000NaNNaNNaNNaN-3.00.0-0.7500000.023.025.024.00000024.00.401.00.5142860.407.327.427.3875007.40537.043.038.75000037.596.099.097.33333397.0NaNNaNNaNNaN17.018.017.50000017.5NaNNaNNaNNaNNaNNaNNaNNaN105.0109.0106.666667106.00.91.11.0000001.00NaNNaNNaNNaN92.0116.0105.000000107.01.11.11.1000001.12.12.12.1000002.10NaNNaNNaNNaN3.73.93.8333333.9NaNNaNNaNNaNNaNNaNNaNNaN27.932.830.86666731.909.510.910.20000010.2029.929.929.90000029.98.79.99.3000009.3NaNNaNNaNNaN107.0115.0111.000000111.076.7176.7176.7176.71000.00.00.00.00.00.01.01.01.01.0-2.36-2.36-2.36-2.3632514.014.0000.000000.0000.00.0232323.023.0

Last rows

PatientIDHR-minHR-maxHR-meanHR-medianO2Sat-minO2Sat-maxO2Sat-meanO2Sat-medianTemp-minTemp-maxTemp-meanTemp-medianSBP-minSBP-maxSBP-meanSBP-medianMAP-minMAP-maxMAP-meanMAP-medianDBP-minDBP-maxDBP-meanDBP-medianResp-minResp-maxResp-meanResp-medianEtCO2-minEtCO2-maxEtCO2-meanEtCO2-medianBaseExcess-minBaseExcess-maxBaseExcess-meanBaseExcess-medianHCO3-minHCO3-maxHCO3-meanHCO3-medianFiO2-minFiO2-maxFiO2-meanFiO2-medianpH-minpH-maxpH-meanpH-medianPaCO2-minPaCO2-maxPaCO2-meanPaCO2-medianSaO2-minSaO2-maxSaO2-meanSaO2-medianAST-minAST-maxAST-meanAST-medianBUN-minBUN-maxBUN-meanBUN-medianAlkalinephos-minAlkalinephos-maxAlkalinephos-meanAlkalinephos-medianCalcium-minCalcium-maxCalcium-meanCalcium-medianChloride-minChloride-maxChloride-meanChloride-medianCreatinine-minCreatinine-maxCreatinine-meanCreatinine-medianBilirubin_direct-minBilirubin_direct-maxBilirubin_direct-meanBilirubin_direct-medianGlucose-minGlucose-maxGlucose-meanGlucose-medianLactate-minLactate-maxLactate-meanLactate-medianMagnesium-minMagnesium-maxMagnesium-meanMagnesium-medianPhosphate-minPhosphate-maxPhosphate-meanPhosphate-medianPotassium-minPotassium-maxPotassium-meanPotassium-medianBilirubin_total-minBilirubin_total-maxBilirubin_total-meanBilirubin_total-medianTroponinI-minTroponinI-maxTroponinI-meanTroponinI-medianHct-minHct-maxHct-meanHct-medianHgb-minHgb-maxHgb-meanHgb-medianPTT-minPTT-maxPTT-meanPTT-medianWBC-minWBC-maxWBC-meanWBC-medianFibrinogen-minFibrinogen-maxFibrinogen-meanFibrinogen-medianPlatelets-minPlatelets-maxPlatelets-meanPlatelets-medianAge-minAge-maxAge-meanAge-medianGender-minGender-maxGender-meanGender-medianUnit1-minUnit1-maxUnit1-meanUnit1-medianUnit2-minUnit2-maxUnit2-meanUnit2-medianHospAdmTime-minHospAdmTime-maxHospAdmTime-meanHospAdmTime-medianICULOS-minICULOS-maxICULOS-meanICULOS-medianSepsisLabel-minSepsisLabel-maxSepsisLabel-meanSepsisLabel-medianSepsis-minSepsis-maxSepsis-meanSepsis-medianHours-minHours-maxHours-meanHours-median
203262063470.094.086.60000087.5094.0100.096.52500096.034.6038.5037.31000037.70089.0128.5105.150000105.2560.087.067.64150067.544.069.052.90000053.010.023.016.53750016.50NaNNaNNaNNaN0.03.02.02.027.027.027.00000027.00.40.70.5400000.57.347.457.4050007.41539.052.044.71428643.075.097.092.00000096.0NaNNaNNaNNaN15.015.015.00000015.0NaNNaNNaNNaNNaNNaNNaNNaN111.0111.0111.000000111.00.60.70.6500000.65NaNNaNNaNNaN70.0148.0120.000000136.0NaNNaNNaNNaN2.22.22.2000002.20NaNNaNNaNNaN3.84.74.1833334.15NaNNaNNaNNaNNaNNaNNaNNaN25.532.028.15000027.559.410.59.9500009.9526.433.630.0030.008.38.38.3000008.30NaNNaNNaNNaN223.0226.0224.500000224.557.2657.2657.2657.26111.01.00.00.00.00.01.01.01.01.0-2.90-2.90-2.90-2.9032212.512.5000.0000000.0000.00.0202020.020.0
203272063553.086.068.67500070.0092.0100.096.17500096.036.3337.7236.88300036.860112.0155.0127.706897127.0063.0117.082.05000081.053.079.063.98275962.010.022.015.50000016.00NaNNaNNaNNaN0.00.00.00.024.024.024.00000024.0NaNNaNNaNNaN7.417.417.4100007.41037.037.037.00000037.0NaNNaNNaNNaNNaNNaNNaNNaN12.012.012.00000012.0NaNNaNNaNNaN7.87.87.8000007.80110.0110.0110.000000110.00.80.80.8000000.80NaNNaNNaNNaN96.0118.0107.000000107.01.01.01.0000001.01.81.81.8000001.802.22.22.2000002.203.73.73.7000003.70NaNNaNNaNNaNNaNNaNNaNNaN28.728.728.70000028.7010.110.110.10000010.1034.545.439.9539.959.09.09.0000009.00NaNNaNNaNNaN301.0301.0301.000000301.056.7556.7556.7556.75111.01.0NaNNaNNaNNaNNaNNaNNaNNaN-0.01-0.01-0.01-0.0124322.522.5000.0000000.0000.00.0424242.042.0
203282063660.074.067.63953569.5094.0100.096.65116396.035.6136.8936.27583336.22088.5125.0104.616279104.0056.083.068.66279169.037.063.047.94186048.09.022.013.83720914.00NaNNaNNaNNaN0.00.00.00.022.024.023.20000024.00.41.00.5833330.57.337.397.3685717.39041.042.041.50000041.574.094.087.33333394.01033.01033.01033.01033.032.040.035.20000036.0204.0204.0204.0204.0NaNNaNNaNNaN102.0109.0104.714286104.01.21.51.3500001.35NaNNaNNaNNaN76.0105.086.66666782.5NaNNaNNaNNaN1.52.31.9000001.90NaNNaNNaNNaN4.44.54.4857144.501.81.81.81.8NaNNaNNaNNaN27.330.228.14444427.509.59.79.5800009.5038.338.338.3038.304.66.45.8000005.80NaNNaNNaNNaN183.0248.0215.500000215.582.3682.3682.3682.36000.00.00.00.00.00.01.01.01.01.00.320.320.320.3254726.026.0000.0000000.0000.00.0434343.043.0
203292063761.0121.096.46428696.2585.0100.097.47857197.035.0037.7236.41388936.41590.0196.0129.803571127.5046.0148.097.69642994.054.0100.075.36309574.07.032.018.24468118.00NaNNaNNaNNaN-9.0-5.0-7.0-7.013.020.017.25925917.00.31.00.4272730.47.237.327.2670377.26036.046.041.40000042.0NaNNaNNaNNaNNaNNaNNaNNaN44.076.061.44000061.0NaNNaNNaNNaN7.29.28.2923088.3086.0102.094.38888995.03.54.33.8538463.80NaNNaNNaNNaN70.0529.0208.076923164.00.61.00.7714290.71.42.21.8780001.904.66.05.4076925.604.15.75.0092595.20NaNNaNNaNNaNNaNNaNNaNNaN26.332.529.22857128.808.610.49.5857149.6035.536.235.8535.854.328.214.17142910.50NaNNaNNaNNaN170.0369.0266.857143248.060.6660.6660.6660.66111.01.01.01.01.01.00.00.00.00.0-0.02-0.02-0.02-0.02214372.572.5010.0633800.0111.01.0142142142.0142.0
203302063865.094.079.52500080.0092.0100.097.32500098.035.7837.1136.62545536.830113.0168.0142.272727145.0075.0141.090.97500088.056.0137.068.03030365.014.032.019.86250018.50NaNNaNNaNNaNNaNNaNNaNNaN26.030.028.66666730.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN17.018.017.33333317.0NaNNaNNaNNaN9.19.19.1000009.10102.0109.0106.666667109.01.31.31.3000001.30NaNNaNNaNNaN98.098.098.00000098.0NaNNaNNaNNaN2.02.12.0666672.103.53.53.5000003.503.63.93.7000003.60NaNNaNNaNNaNNaNNaNNaNNaN37.737.937.76666737.7013.013.413.13333313.0024.824.824.8024.806.57.67.2333337.60NaNNaNNaNNaN176.0176.0176.000000176.068.3868.3868.3868.38111.01.0NaNNaNNaNNaNNaNNaNNaNNaN-0.02-0.02-0.02-0.0224222.022.0000.0000000.0000.00.0414141.041.0
203312063974.0120.087.42000082.0097.0100.098.94000099.035.7236.9436.39100036.37590.0117.0101.354167101.2558.588.071.16666770.0NaNNaNNaNNaN16.027.019.80000020.00NaNNaNNaNNaNNaNNaNNaNNaN19.019.019.00000019.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN80.080.080.080.032.032.032.00000032.0154.0154.0154.0154.08.28.28.2000008.20105.0105.0105.000000105.00.80.80.8000000.80NaNNaNNaNNaN89.089.089.00000089.0NaNNaNNaNNaN1.61.61.6000001.604.04.04.0000004.004.14.14.1000004.103.13.13.13.1NaNNaNNaNNaN27.431.128.83333328.609.79.79.7000009.7033.433.433.4033.4018.118.118.10000018.10263.0263.0263.0263.012.040.025.50000025.059.1459.1459.1459.14111.01.01.01.01.01.00.00.00.00.0-0.02-0.02-0.02-0.0212613.513.5000.0000000.0000.00.0262626.026.0
203322064071.096.080.92000079.0093.0100.095.62000095.536.1037.5537.24791737.400107.5149.0126.540000125.0065.589.076.25320076.049.067.056.16666754.58.021.015.43750015.25NaNNaNNaNNaN-7.0-1.0-3.7-4.020.020.020.00000020.00.51.00.6923080.77.267.437.3583337.36035.044.037.90000036.595.098.096.75000097.0NaNNaNNaNNaN15.015.015.00000015.0NaNNaNNaNNaN7.77.77.7000007.70106.0106.0106.000000106.00.70.70.7000000.70NaNNaNNaNNaN101.0272.0160.900000153.0NaNNaNNaNNaN1.93.52.5000002.10NaNNaNNaNNaN3.65.14.3500004.35NaNNaNNaNNaNNaNNaNNaNNaN26.936.730.62000028.309.712.711.20000011.2035.435.435.4035.4014.314.314.30000014.30NaNNaNNaNNaN134.0162.0148.000000148.074.5374.5374.5374.53000.00.00.00.00.00.01.01.01.01.0-59.09-59.09-59.09-59.0932715.015.0000.0000000.0000.00.0252525.025.0
203332064176.0101.585.90000084.5094.099.097.02381098.036.6737.3937.05500037.05593.0169.0116.976190113.5050.097.567.15789566.045.076.561.21428663.012.021.016.38095215.00NaNNaNNaNNaNNaNNaNNaNNaN30.031.030.50000030.5NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN16.018.017.00000017.0NaNNaNNaNNaN8.79.08.8500008.8596.0102.099.00000099.00.70.80.7500000.75NaNNaNNaNNaN101.0121.0110.000000109.0NaNNaNNaNNaN2.22.32.2500002.253.33.83.5500003.553.43.63.5000003.50NaNNaNNaNNaNNaNNaNNaNNaN32.432.932.65000032.6511.111.111.10000011.1023.023.023.0023.008.110.29.1500009.15NaNNaNNaNNaN291.0314.0302.500000302.533.0133.0133.0133.01111.01.0NaNNaNNaNNaNNaNNaNNaNNaN-0.01-0.01-0.01-0.0162616.016.0000.0000000.0000.00.0212121.021.0
203342064279.0130.096.52500094.0096.0100.099.512821100.035.6737.0636.45777836.56083.0139.0107.555556107.0058.097.074.68571475.043.068.056.22222255.511.022.018.06250018.00NaNNaNNaNNaN0.00.00.00.026.029.027.50000027.50.40.50.4666670.57.457.457.4500007.45034.034.034.00000034.099.099.099.00000099.0NaNNaNNaNNaN12.012.012.00000012.0NaNNaNNaNNaN8.88.98.8500008.85105.0107.0106.000000106.00.40.40.4000000.40NaNNaNNaNNaN117.0119.0118.000000118.0NaNNaNNaNNaN1.92.01.9500001.953.94.54.2000004.203.74.74.2000004.20NaNNaNNaNNaNNaNNaNNaNNaN30.832.431.33333330.8010.311.110.56666710.3027.427.427.4027.407.38.07.5333337.30NaNNaNNaNNaN247.0267.0257.000000257.069.8069.8069.8069.80000.00.0NaNNaNNaNNaNNaNNaNNaNNaN-10.58-10.58-10.58-10.5814221.521.5000.0000000.0000.00.0424242.042.0
203352064379.0140.094.44827690.0088.0100.097.17857197.536.0638.7838.08375038.440108.0205.0148.420000149.0042.5135.093.48387190.061.0105.076.76000072.016.017.016.03571416.00NaNNaNNaNNaN-6.03.00.01.025.026.025.66666726.00.40.80.4909090.57.167.487.3740007.42034.067.045.20000041.085.098.095.20000098.090.0117.0103.5103.515.026.020.50000020.5107.0150.0128.5128.58.18.38.2333338.30102.0105.0103.666667104.01.52.52.1000002.20NaNNaNNaNNaN107.0205.0162.333333175.01.61.61.6000001.61.62.52.1500002.253.54.84.0250003.903.53.93.7750003.850.50.90.70.7NaNNaNNaNNaN27.836.031.16666729.7010.612.511.55000011.5526.133.429.7529.7511.816.113.95000013.95NaNNaNNaNNaN284.0367.0325.500000325.562.2962.2962.2962.29111.01.0NaNNaNNaNNaNNaNNaNNaNNaN-0.03-0.03-0.03-0.0333519.019.0010.2727270.0111.01.0333333.033.0